- School & Boards College Admission Govt Jobs Alert & Prep Exams Current Affairs General Knowledge Careers Videos Education News Quiz & Mock Tests Ebooks Results हिन्दी Jagran TV Jagran Play View All Categories
- Be Cyberwise
- SRM University
- Nikharda Punjab
- Current Affairs
- Web Stories
- CBSE Class 12

CBSE Class 12 Psychology Important Case Study Based Questions 2023: Read and Solve for Tomorrow's Exam
Psychology Important Case Study questions for CBSE Class 12: Practice important Psychology Case Study-based questions for CBSE class 12. These questions are important for the upcoming CBSE Class 12 Psychology Board Exam 2023.

CBSE Class 12 Psychology Exam 2023: Hello students! kudos to the efforts you put into tackling your 2023 board examinations. We understand that the last few weeks were tremendously tiring, both mentally and physically. Don’t worry, take a deep breath and relax as this is the final phase of your CBSE examination 2023. The class 12 Psychology exam is the last in the lane. Its paper code is 037. The exam is planned for 05th April 2023, that is, tomorrow. The exam will be for 3 hours scheduled between 10.30 AM to 01.30 PM. We believe you have already solved the sample question and previous year papers for Class 12 Psychology and must be aware of the exam pattern. If not, please refer to the links below.
Read:
- CBSE Class 12 Psychology Previous Year Question Papers: Download pdf
- CBSE Board Class 12 Psychology Sample Paper 2022-23 in PDF
As you know the tail segment of the paper comprises case study-based questions that require deep thinking and an eye for details. To help you with that, we have added important case study-based questions for your practice. Keep up with this post for the questions.

CBSE Class 12 Psychology, Important Case Study-Based Questions:
Case 1: .
Read the following case study and answer the questions that follow:
Sundar, a college-going 20-year-old male, has moved from his home town to live in a big city. He has continuous fear of insecurity and feels that enemy soldiers are following him. He gets very tense when he spots anyone in a uniform and feels that they are coming to catch him. This intense anxiety is interfering with his work and relationship, and his friends are extremely concerned as it does not make any sense to them. Sundar occasionally laughs abruptly and inappropriately and sometimes stops speaking mid-sentence, scanning off in the distance as though he sees or hears something. He expresses concern about the television and radio in the room potentially being monitored by the enemies. His beliefs are fixed and if they are challenged, his tone becomes hostile.
Q1. Based on the symptoms being exhibited, identify the disorder. Explain the other symptoms that can be seen in this disorder.
Q2. Define delusion and inappropriate affect. Support it with the symptoms given in the above case study.
Read the case and answer the questions that follow.
Alfred Binet, in 1905, was requested by the French government to devise a method by which students who experienced difficulty in school could be identified. Binet and his colleague, Theodore Simon, began developing questions that focused on areas not explicitly taught in schools those days, such as memory, and attention skills related to problem-solving. Using these questions, Binet determined which were the ones that served as the best predictors of school success.
Binet quickly realised that some children were able to answer more advanced questions than older children were generally able to answer and vice versa. Based on this observation, Binet suggested the concept of mental age or a measure of intelligence based on the average abilities of children of a certain age group. This first intelligence test is referred to as the Binet-Simon Scale. He insisted that intelligence is influenced by many factors, it changes over time, and it can only be compared in children with similar backgrounds.
Q1 . Identify the approach on which the Binet-Simon Intelligence Scale is based. Discuss its features.
Q2 . ‘Binet quickly realised that some children were able to answer more advanced questions than older children were generally able to answer and vice versa’. Why do individuals differ in intelligence? Using examples, give reasons for your answer.
Read the following case study and answer the questions that follow :
All the Indian settlers were contemptuously and without distinction dubbed “coolies” and forbidden to walk on footpaths or be out at night without permits.
Mahatma Gandhi quickly discovered colour discrimination in South Africa and confronted the realisation that being Indian subjected him to it as well. At a particular train station, railway employees ordered him out of the carriage despite his possessing a first-class ticket. Then on the stagecoach for the next leg of his journey, the coachman, who was white, boxed his ears. A Johannesburg hotel also barred him from lodging there. Indians were commonly forbidden to own land in Natal, while ownership was more permissible for native-born people.
In 1894, the Natal Bar Association tried to reject Gandhi on the basis of race. He was nearly lynched in 1897 upon returning from India while disembarking from a ship moored at Durban after he, his family, and 600 other Indians had been forcibly quarantined, allegedly due to medical fears that they carried plague germs.
Q1. What is the difference between prejudice and discrimination ? On the
basis of the incidents in the above case study, identify a situation for each
which are examples of prejudice and discrimination.
Q2. What do you think could have been a source of these prejudices ? Explain
any two sources.
Read the given case carefully and answer the questions that follow:
Harish belonged to a family of four children, him being the eldest. Unlike any first born, he was not given the attention he should have had. His father worked as an accountant, while his mother stayed at home to look after the kids. He dropped out of school and could barely manage to get work for a little salary.
His relationship with his family played an important role in building his disposition. He felt a certain feeling of insecurity with his siblings, especially his brother Tarun, who was able to finish college because of parental support.
Due to the hopelessness Harish felt, he started engaging in drinking alcohol with his high school friends. Parental negligence caused emotional turmoil. He also had insomnia which he used as a reason for drinking every night.
Over time, Harish had to drink more to feel the effects of the alcohol. He got grouchy or shaky and had other symptoms when he was not able to drink or when he tried to quit.
In such a case, the school would be the ideal setting for early identification and intervention. In addition, his connection to school would be one of the most significant protective factors for substance abuse. His school implemented a variety of early intervention strategies which did not help him as he was irregular and soon left school. Some protective factors in school would be the ability to genuinely experience positive emotions through good communication.
(i)It has been found that certain family systems are likely to produce abnormal functioning in individual members.
In the light of the above statement, the factors underlying Harish's condition can be related to model.
(A) Humanistic
(B) Behavioural
(C) Socio-cultural
(D) Psychodynamic
(ii) Over time, Harish needed to drink more before he could feel the effects of the alcohol. This means that he built a alcohol. towards the
(A) Withdrawal
(B) Tolerance
(C) Stress inoculation
(D) All of the above
(iii)He got grouchy or shaky and had other symptoms when he was not able to drink or when he tried to quit. This refers to
(A) Low willpower symptoms.
(B) Addiction symptoms
(C) Withdrawal symptoms
(D) Tolerance symptoms
(iv) Which of the following is not true about substance related and addictive disorders?
(A) Alcoholism unites millions of families through social interactions and get-togethers.
(B) Intoxicated drivers are responsible for many road accidents.
(C) It also has serious effects on the children of persons with this disorder.
(D) Excessive drinking can seriously damage physical health.
Read the given case carefully and answer the questions that follow:
Monty was only 16 years when he dealt with mixed emotions for every couple of months. He shares that sometimes he felt like he was on top of the world and that nobody could stop him. He would be extremely confident. Once these feelings subsided, he would become depressed and lock himself in the room. He would neither open the door for anyone nor come out.
He shares, "My grades were dropping as I started to breathe rapidly and worry about almost everything under the sun. I felt nervous, restless and tense, with an increased heart rate. My family tried to help but I wasn't ready to accept." His father took him to the doctor, who diagnosed him. Teenage is a tough phase as teenagers face various emotional and psychological issues. How can one differentiate that from a disorder? Watch out when one is hopeless and feels helpless. Or, when one is not able to control the powerful emotions. It has to be confirmed by a medical practitioner.
During his sessions, Monty tries to clear many myths. He gives his perspective of what he experienced and the treatment challenges. "When I was going through it, I wish I had met someone with similar experiences so that I could have talked to her/him and understood why I was behaving the way I was. By talking openly, I hope to help someone to cope with it and believe that it is going to be fine one day."
Now, for the last five years Monty has been off medication and he is leading a regular life. Society is opening up to address mental health issues in a positive way, but it always helps to listen to someone who has been through it.
(i)Monty's symptoms are likely to be those of
(A) ADHD and anxiety disorder
(B) Bipolar disorder and generalised anxiety disorder
(C) Generalised anxiety disorder and oppositional defiant disorder
(D) Schizophrenia
(ii) During his sessions, Monty tried to clear many myths. Which one of the following is a myth?
(A) Normality is the same as conformity to social norms.
(B) Adaptive behaviour is not simply maintenance and survival but also includes growth and fulfilment.
(C) People are hesitant to consult a doctor or a psychologist because they are ashamed of their problems.
(D) Genetic and biochemical factors are involved in causing mental disorders.
(iii) With an understanding of Monty's condition, which of the following is a likely symptom he may also be experiencing?
(A) Frequent washing of hands
(B) Assuming alternate personalities
(C) Persistent body related symptoms, which may or may not be related to any serious medical condition
(D) Prolonged, vague, unexplained and intense fears that are not attached to any particular object
(iv) Teenage is a tough phase as teenagers face various emotional and psychological issues. The disorder manifested in the early stage of development is classified as,
(A) Feeding and eating disorder
(B) Trauma and stressor related disorder
(C) Neurodevelopmental disorder
(D) Somatic symptom disorder
- CBSE Class 12 Psychology Syllabus 2022-23 .
- CBSE class 12 Psychology DELETED syllabus 2022-23.
- NCERT Books for Class 12 Psychology - (All Chapters)
- NCERT Books for Class 12 Psychology (in Hindi) - (All Chapters)
- CBSE Class 12 Date Sheet 2023
- CBSE Topper Answer Sheet Class 12: Model Answer Paper Download PDF
- CBSE Class 12 Preparation Tips: TOP 10 Ways to Score High in CBSE Class 12th Board Exam
On what day CBSE Class 12 Psychology 2023 exam is?
Is it important to solve case study questions for cbse class 12 psychology exam, related categories.
- Education News
- Delhi University Admissions
- About CBSE Exam

Related Stories
- CBSE Class 10 English Grammar Tenses MCQs with Answers 2024
- CBSE Class 10 English Grammar Important Questions Answers for Board Exam 2024
- CTET Hall Ticket 2023 Out on ctet.nic.in: Direct Download Link For Admit Card Here
- IAF Agniveer Result 2023
- IGNOU TEE December Hall Ticket 2023
- Delhi Police Constable Admit Card 2023
- NHM UP Result 2023
- SSC MTS Result 2023
Latest Education News
- MOST Wickets in World Cup 2023: Top Wicket-Taker List 24 mins ago
- MOST Runs in World Cup 2023: Highest Run-Scorers List 25 mins ago
- Test your attentiveness and spot 2 differences in Disney’s Encanto picture within 7 seconds. 1 hour ago
- Can rain improve the quality of air? Yes it did in Delhi 1 hour ago
- Genius IQ Test: Find the value of raincoat, gloves and boot in 10 seconds! 2 hrs ago
- BPSC Teacher Important Questions 2023: Download PGT, TGT and PRT Sample Paper PDF 2 hrs ago
- SNAP Registration 2023 Last Date Soon; Check Admit Card, Exam Dates Here 2 hrs ago
- Diwali 2023 Date and Time: दिवाली पर पूजा का सही समय और इससे जुड़ी महत्वपूर्ण बातें 2 hrs ago
- What Is Apple’s Swift Student Challenge? Know All the Details 3 hrs ago
- Bihar Teacher Salary 2023: PRT, TGT and PGT Pay Scale, In-hand Salary 3 hrs ago
- NABARD Mains Admit Card 2023 OUT: नाबार्ड मेंस परीक्षा के एडमिट कार्ड जारी, यहाँ से करें डायरेक्ट डाउनलोड 3 hrs ago
- ECIL Recruitment 2023: Apply Online For Technical Officer Posts, Check Eligibility And Application Process 3 hrs ago
- ICAR PG, PhD Second Round Counselling 2023 Dates Announced, Check Schedule Here 3 hrs ago
- India Post Bharti 2023: भारतीय डाक विभाग में 1899 पदों के लिए आवेदन dopsportsrecruitment.cept.gov.in पर शुरू, जानें कैसे करें Apply 3 hrs ago
- Bihar School Holiday List 2023 Released, Check Dates Here 3 hrs ago
- CBSE Board Exam 2024 Class 12 - Syllabus, Study Material, Important Questions, Exam Dates and More! 3 hrs ago
- Delhi University Winter Break Prepones; Holidays Announced from Nov 13 Onwards 3 hrs ago
- Ordnance Factory Recruitment 2023: Apply Online For 119 DBW Posts, Check Eligibility, Salary And More 3 hrs ago
- Dhanteras 2023 Today: Date, City Wise Puja Timings, Shubh Muhrat & Significance of Buying Gold on Dhantrayodashi 3 hrs ago
- Happy Dhanteras 2023: Top 100+ Images, Wishes, Quotes for Facebook, Instagram and WhatsApp Status and Stories 3 hrs ago
Result Updates
- UK Board 12th Result 2023 - Scrutiny Result Sep 8, 2023
- UK Board Result 2023 - Scrutiny Result Sep 8, 2023
- UK Board 10th Result 2023 - Scrutiny Result Sep 1, 2023
- NIOS Board 10th Result 2023 - Declared Jun 26, 2023
For more results, click here
myCBSEguide
- Class 12 Psychology Case...
Class 12 Psychology Case Study Questions
Table of Contents
myCBSEguide App
Download the app to get CBSE Sample Papers 2023-24, NCERT Solutions (Revised), Most Important Questions, Previous Year Question Bank, Mock Tests, and Detailed Notes.
Are you having trouble preparing for the CBSE Class 12 Psychology Case Study Questions? Are you looking for a wide range of Class 12 Psychology Case Study Questions? Then you’ve landed in the right place. Students can explore Class 12 Psychology Case Study Questions to assist them in answering a range of questions concerning the case study.
Other ed-tech sites may provide limited study material for Class 12 Psychology students, but myCBSEguide has a variety of questions that cover all aspects of Class 12 Psychology including case study questions. Class 12 Psychology questions are designed to help students understand and retain the material covered. In addition, myCBSEguide also offers practice tests and sample papers to help students prepare for Class 12 Psychology exams.
All About Class 12 Psychology Case Study
What is a case study.
A case study is a scenario in a specific professional environment that students must analyze and answer based on specific questions provided about the circumstance. In many cases, the scenario or case study includes a variety of concerns or problems that must be addressed in a professional setting.
Case Study Questions in Class 12 Psychology
Class 12 Psychology Case-Based Questions are a new feature to the exam. Class 12 Psychology Case Study Questions are easy to comprehend and will help you get good grades. You may also get free access to the most recent NCERT textbooks for Class 12 Psychology and all other subjects on myCBSEguide, which had been designed in accordance with the most recent Class 12 CBSE/NCERT Psychology curriculum and examination pattern.
Sample Case Study Questions in Class 12 Psychology
Below are some examples of Class 12 Psychology Case Study Questions. These Class 12 Psychology Case Study Questions will be extremely beneficial in preparing for the upcoming Class 12 Psychology exams. Class 12 Psychology Case Study Questions are created by qualified teachers using the most recent CBSE/NCERT syllabus and books for the current academic year. If you revise your Class 12 Psychology exams and class tests on a regular basis, you will be able to achieve higher marks.
Class 12 Psychology Case Study Question 1
Read the case given below and answer the questions by choosing the most appropriate option: This is a story of three students Ruby, Radhika and Shankar who were enrolled in an Undergraduate Psychology Program in a University. Ruby was the admission officer’s dream. She was selected for the program as she had perfect entrance test scores, outstanding grades and excellent letters of recommendation. But when it was time for Ruby to start coming up with ideas of her own, she disappointed her professors. On the other hand, Radhika did not meet the admission officer’s expectations. She had good grades but low entrance exam scores. However, her letters of recommendation described her as a creative young woman. She could design and implement research work with minimal guidance at college. Shankar ranked somewhere in between the two students. He was satisfactory on almost every traditional measure of success. But rather than falling somewhere in the middle of his class at college, Shankar proved to be an outstanding student. His strength lay in the ability to not only adapt well to the demands of his new environment but also to modify the environment to suit his needs.
Identify the theory of intelligence which best explains the intelligence of all the three students in the story:
- One Factor Theory
- Theory of Primary Mental Abilities
- Hierarchical Model of Intelligence
- Triarchic Theory of Intelligence
Identify the type of intelligence Ruby possesses.
- Componential
- Experiential
Which of the following statement is NOT TRUE about Radhika’s intelligence?
- People high on this quickly find out which information is crucial in a given situation.
- It is also called experiential intelligence.
- It involves modifying the environment to suit the needs.
- It reflects in creative performances.
Two statements are given in the question below as Assertion (A) and Reasoning (R). Read the statements and choose the appropriate option. Assertion (A): Shankar is not high in contextual intelligence. Reason (R): Shankar was good at adapting well to the demands of his new environment and modifying the environment to suit his needs. Options:
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true, but R is not the correct explanation of A.
- A is true, but R is false.
- A is false, but R is true.
Out of the three students mentioned in the story, who are/is more likely to be a successful entrepreneur?
- Radhika and Shankar
- Ruby and Radhika
Identify the three components of intelligence that Ruby is high on
- Knowledge acquisition, Meta, creativity
- Knowledge acquisition, Meta, performance
- Knowledge acquisition, Meta, planning
- Planning, performance, adaptability
Class 12 Psychology Case Study Question 2
Refer to the picture given below and answer the questions by choosing the most appropriate option:
Which type of personality assessment is being depicted in the above picture?
- Projective Technique
- Psychometric Tests
- Behavioural Analysis
- Self-report Measures
Which of the following is NOT a characteristic of this test?
- It reveals the unconscious mind.
- It can be conducted only on an individual basis.
- Its interpretation is objective.
- The stimuli are unstructured.
Identify the name of the test from the options given below.
- Thematic Appreciation Test
- Thematic Apperception Test
- Theatre Apperception Test
- Theatre Appreciation Test
Which of the following statements are NOT true of this test? i. In the first phase, called performance proper, the subjects are shown the cards and are asked to tell what they see in each of them. ii. The second phase is called inquiry. iii. Each picture card depicts one or more people in a variety of situations. iv. The subject is asked to tell a story describing the situation presented in the picture. Choose the correct option:
Which of the following is NOT a drawback of this test?
- It requires sophisticated skills and specialised training
- It has problems associated with reliability of scoring
- It has problems associated with validity of interpretations
- It is an indirect measure of assessment.
Identify the stimuli that are used in such kinds of tests as given in the above picture.
- Picture cards
NOTE- The following questions are for the Visually Impaired Candidates in lieu of questions 55 to 60. Answer the questions by choosing the most appropriate option.
Nafisa feels that she is liked by her peers in class. This reflects that she ________.
- is high on self-efficacy
- is high on social self-esteem
- possesses a high IQ
- is an introvert
Discrepancy between the real self and ideal self often results in ________.
- self-actualisation
- self-regulation
- unhappiness and dissatisfaction
- intrapsychic conflicts
If an individual is fat, soft and round along with a temperament that is relaxed and sociable, then he/she is said to have the characteristics of an:
Gurmeet was given a personality test to assess how he expresses aggression in the face of a frustrating situation. Identify the test most suitable for this.
- Rosenzweig Picture Frustration test
- Eysenck Personality questionnaire
- 16 Personality Factors Test
According to Karen Horney the origin of maladjustment can be traced to ________.
- the inferiority feelings of childhood.
- basic anxiety resulting from disturbed interpersonal relations.
- overindulgence of the child at early stages of development.
- failure to deal with intrapsychic conflicts.
An individual’s sole concern with the satisfaction of ________ needs would reduce him/her to the level of animals.
- belongingness
Class 12 Psychology Case Study Question 3
Read the case given below and answer the questions
Mental health professionals have attempted to understand psychological disorders using different approaches through the ages. Today, we have sophisticated facilities and hospitals dedicated to the treatment of the mentally ill. While studying the history of psychological disorders it is interesting to note that some practices from ancient times are still in use. Take the case of Lakshmi and her daughter, Maya. Maya exhibits abnormal behaviours and Lakshmi believes that this is because of evil spirits that have possessed her. She has been taking her daughter to a self-proclaimed healer, who uses counter-magic and prayer to cure her. Stigma and lack of awareness prevents Lakshmi from using the modern facilities and hospitals that provide quality mental health care. On the other hand, when young Rita reported seeing people and hearing voices, mental health professionals at a modern facility were able to understand her hallucinations using a convergence of three approaches. Psychologists use official manuals like the Diagnostic and Statistical Manual of Mental Disorders – 5th Edition (DSM-5) and International Classification of Diseases (ICD-10) to indicate presence or absence of disorders. Today there is increased compassion for people who suffer from disorders and a lot of emphasis is placed on providing community care.
- Identify the method used by the healer to cure Maya’s illness. How does this theory from ancient times explain Maya’s treatment?
- Which approach do you think would best explain Rita’s treatment? How do you think DSM – 5 and ICD -10 help mental health professionals in indicating the presence or absence of disorders?
Class 12 Psychology syllabus at a glance
Class 12 Psychology students must have a better comprehension of Class 12 Psychology New curriculum in order to have a positive impression of the exam pattern and marking scheme. By studying the CBSE Class 12 Syllabus, students will learn the unit names, chapters within each unit, and sub-topics. Let’s have a look at the Class 12 Psychology Syllabus, which contains the topics that will be covered in the CBSE test framework.
CBSE Class – 12 Psychology (Code No. 037) Syllabus
Course Structure
Benefits of Solving Class 12 Psychology Case Study Question
- You will be able to locate significant case study problems in your class quizzes and examinations because we offer the best collection of Class 12 Psychology case study questions 2. You’ll be able to go over all of the crucial and challenging themes from your CBSE Class 12 Psychology textbooks again.
- Answers to all Class 12 Psychology case study questions have been supplied.
- Class 12 Psychology Students in Class will be able to download all Psychology chapter-by-chapter assignments and worksheets in PDF format.
- Class 12 Psychology Case Study Questions will aid in the enhancement and improvement of topic understanding, resulting in higher exam scores.
myCBSEguide: The best platform for Class 12 Psychology
myCBSEguide is the best platform for Class 12 Psychology students. It offers a wide range of resources that are not only helpful for academic purposes but also for personal development. The platform provides access to a variety of online courses, mock tests, and practice materials that can help Class 12 Psychology students ace their exams. Additionally, the forum on the website is a great place to interact with other students and get insights into different aspects of the subject. Overall, myCBSEguide is an invaluable resource for anyone pursuing Class 12 Psychology.
Test Generator
Create question paper PDF and online tests with your own name & logo in minutes.
Question Bank, Mock Tests, Exam Papers, NCERT Solutions, Sample Papers, Notes
Related Posts
- Competency Based Learning in CBSE Schools
- Class 11 Physical Education Case Study Questions
- Class 11 Sociology Case Study Questions
- Class 12 Applied Mathematics Case Study Questions
- Class 11 Applied Mathematics Case Study Questions
- Class 11 Mathematics Case Study Questions
- Class 11 Biology Case Study Questions
- Class 12 Physical Education Case Study Questions
4 thoughts on “Class 12 Psychology Case Study Questions”
where are the answers? atleast give answers with the questions so we can know our mistakes
No answers ?.
teri behen ko naman
Dude what about the answers?
Leave a Comment
Save my name, email, and website in this browser for the next time I comment.
- MyU : For Students, Faculty, and Staff
Center for Leadership Education in Maternal & Child Public Health
School of public health, children’s mental health case study about depression.

Those using the case studies will:
- Utilize research in making practice decisions
- Examine the needs of children from an interdisciplinary perspective
- Recognize the importance of prevention/early intervention in children’s mental health
- Apply ecological and developmental perspectives to children’s mental health
- Predict probable outcomes for children based on services they receive
Explore the case of Steven, a 15-year-old male with depression, here .*
* Best using Safari , Mozilla Firefox , or Chrome .

Ohio State nav bar
The Ohio State University
- BuckeyeLink
- Find People
- Search Ohio State
Patient Case Presentation

Figure 1. Blue and silver stethoscope (Pixabay, N.D.)
Ms. S.W. is a 48-year-old white female who presented to an outpatient community mental health agency for evaluation of depressive symptoms. Over the past eight weeks she has experienced sad mood every day, which she describes as a feeling of hopelessness and emptiness. She also noticed other changes about herself, including decreased appetite, insomnia, fatigue, and poor ability to concentrate. The things that used to bring Ms. S.W. joy, such as gardening and listening to podcasts, are no longer bringing her the same happiness they used to. She became especially concerned as within the past two weeks she also started experiencing feelings of worthlessness, the perception that she is a burden to others, and fleeting thoughts of death/suicide.
Ms. S.W. acknowledges that she has numerous stressors in her life. She reports that her daughter’s grades have been steadily declining over the past two semesters and she is unsure if her daughter will be attending college anymore. Her relationship with her son is somewhat strained as she and his father are not on good terms and her son feels Ms. S.W. is at fault for this. She feels her career has been unfulfilling and though she’d like to go back to school, this isn’t possible given the family’s tight finances/the patient raising a family on a single income.
Ms. S.W. has experienced symptoms of depression previously, but she does not think the symptoms have ever been as severe as they are currently. She has taken antidepressants in the past and was generally adherent to them, but she believes that therapy was more helpful than the medications. She denies ever having history of manic or hypomanic episodes. She has been unable to connect to a mental health agency in several years due to lack of time and feeling that she could manage the symptoms on her own. She now feels that this is her last option and is looking for ongoing outpatient mental health treatment.
Past Medical History
- Hypertension, diagnosed at age 41
Past Surgical History
- Wisdom teeth extraction, age 22
Pertinent Family History
- Mother with history of Major Depressive Disorder, treated with antidepressants
- Maternal grandmother with history of Major Depressive Disorder, Generalized Anxiety Disorder
- Brother with history of suicide attempt and subsequent inpatient psychiatric hospitalization,
- Brother with history of Alcohol Use Disorder
- Father died from lung cancer (2012)
Pertinent Social History
- Works full-time as an enrollment specialist for Columbus City Schools since 2006
- Has two children, a daughter age 17 and a son age 14
- Divorced in 2015, currently single
- History of some emotional abuse and neglect from mother during childhood, otherwise denies history of trauma, including physical and sexual abuse
- Smoking 1/2 PPD of cigarettes
- Occasional alcohol use (approximately 1-2 glasses of wine 1-2 times weekly; patient had not had any alcohol consumption for the past year until two weeks ago)

Change Password
Your password must have 8 characters or more and contain 3 of the following:.
- a lower case character,
- an upper case character,
- a special character
Password Changed Successfully
Your password has been changed
- Sign in / Register
Request Username
Can't sign in? Forgot your username?
Enter your email address below and we will send you your username
If the address matches an existing account you will receive an email with instructions to retrieve your username
An Exploratory Study of Students with Depression in Undergraduate Research Experiences
- Katelyn M. Cooper
- Logan E. Gin
- M. Elizabeth Barnes
- Sara E. Brownell
*Address correspondence to: Katelyn M. Cooper ( E-mail Address: [email protected] ).
Department of Biology, University of Central Florida, Orlando, FL, 32816
Search for more papers by this author
Biology Education Research Lab, Research for Inclusive STEM Education Center, School of Life Sciences, Arizona State University, Tempe, AZ 85281
Depression is a top mental health concern among undergraduates and has been shown to disproportionately affect individuals who are underserved and underrepresented in science. As we aim to create a more inclusive scientific community, we argue that we need to examine the relationship between depression and scientific research. While studies have identified aspects of research that affect graduate student depression, we know of no studies that have explored the relationship between depression and undergraduate research. In this study, we sought to understand how undergraduates’ symptoms of depression affect their research experiences and how research affects undergraduates’ feelings of depression. We interviewed 35 undergraduate researchers majoring in the life sciences from 12 research-intensive public universities across the United States who identify with having depression. Using inductive and deductive coding, we identified that students’ depression affected their motivation and productivity, creativity and risk-taking, engagement and concentration, and self-perception and socializing in undergraduate research experiences. We found that students’ social connections, experiencing failure in research, getting help, receiving feedback, and the demands of research affected students’ depression. Based on this work, we articulate an initial set of evidence-based recommendations for research mentors to consider in promoting an inclusive research experience for students with depression.
INTRODUCTION
Depression is described as a common and serious mood disorder that results in persistent feelings of sadness and hopelessness, as well as a loss of interest in activities that one once enjoyed ( American Psychiatric Association [APA], 2013 ). Additional symptoms of depression include weight changes, difficulty sleeping, loss of energy, difficulty thinking or concentrating, feelings of worthlessness or excessive guilt, and suicidality ( APA, 2013 ). While depression results from a complex interaction of psychological, social, and biological factors ( World Health Organization, 2018 ), studies have shown that increased stress caused by college can be a significant contributor to student depression ( Dyson and Renk, 2006 ).
Depression is one of the top undergraduate mental health concerns, and the rate of depression among undergraduates continues to rise ( Center for Collegiate Mental Health, 2017 ). While we cannot discern whether these increasing rates of depression are due to increased awareness or increased incidence, it is clear that is a serious problem on college campuses. The percent of U.S. college students who self-reported a diagnosis with depression was recently estimated to be about 25% ( American College Health Association, 2019 ). However, higher rates have been reported, with one study estimating that up to 84% of undergraduates experience some level of depression ( Garlow et al. , 2008 ). Depression rates are typically higher among university students compared with the general population, despite being a more socially privileged group ( Ibrahim et al. , 2013 ). Prior studies have found that depression is negatively correlated with overall undergraduate academic performance ( Hysenbegasi et al. , 2005 ; Deroma et al. , 2009 ; American College Health Association, 2019 ). Specifically, diagnosed depression is associated with half a letter grade decrease in students’ grade point average ( Hysenbegasi et al. , 2005 ), and 21.6% of undergraduates reported that depression negatively affected their academic performance within the last year ( American College Health Association, 2019 ). Provided with a list of academic factors that may be affected by depression, students reported that depression contributed to lower exam grades, lower course grades, and not completing or dropping a course.
Students in the natural sciences may be particularly at risk for depression, given that such majors are noted to be particularly stressful due to their competitive nature and course work that is often perceived to “weed students out”( Everson et al. , 1993 ; Strenta et al. , 1994 ; American College Health Association, 2019 ; Seymour and Hunter, 2019 ). Science course instruction has also been described to be boring, repetitive, difficult, and math-intensive; these factors can create an environment that can trigger depression ( Seymour and Hewitt, 1997 ; Osborne and Collins, 2001 ; Armbruster et al ., 2009 ; Ceci and Williams, 2010 ). What also distinguishes science degree programs from other degree programs is that, increasingly, undergraduate research experiences are being proposed as an essential element of a science degree ( American Association for the Advancement of Science, 2011 ; President’s Council of Advisors on Science and Technology, 2012 ; National Academies of Sciences, Engineering, and Medicine [NASEM], 2017 ). However, there is some evidence that undergraduate research experiences can add to the stress of college for some students ( Cooper et al. , 2019c ). Students can garner multiple benefits from undergraduate research, including enhanced abilities to think critically ( Ishiyama, 2002 ; Bauer and Bennett, 2003 ; Brownell et al. , 2015 ), improved student learning ( Rauckhorst et al. , 2001 ; Brownell et al. , 2015 ), and increased student persistence in undergraduate science degree programs ( Jones et al. , 2010 ; Hernandez et al. , 2018 ). Notably, undergraduate research experiences are increasingly becoming a prerequisite for entry into medical and graduate programs in science, particularly elite programs ( Cooper et al. , 2019d ). Although some research experiences are embedded into formal lab courses as course-based undergraduate research experiences (CUREs; Auchincloss et al. , 2014 ; Brownell and Kloser, 2015 ), the majority likely entail working with faculty in their research labs. These undergraduate research experiences in faculty labs are often added on top of a student’s normal course work, so they essentially become an extracurricular activity that they have to juggle with course work, working, and/or personal obligations ( Cooper et al. , 2019c ). While the majority of the literature surrounding undergraduate research highlights undergraduate research as a positive experience ( NASEM, 2017 ), studies have demonstrated that undergraduate research experiences can be academically and emotionally challenging for students ( Mabrouk and Peters, 2000 ; Seymour et al. , 2004 ; Cooper et al. , 2019c ; Limeri et al. , 2019 ). In fact, 50% of students sampled nationally from public R1 institutions consider leaving their undergraduate research experience prematurely, and about half of those students, or 25% of all students, ultimately leave their undergraduate research experience ( Cooper et al. , 2019c ). Notably, 33.8% of these individuals cited a negative lab environment and 33.3% cited negative relationships with their mentors as factors that influenced their decision about whether to leave ( Cooper et al. , 2019c ). Therefore, students’ depression may be exacerbated in challenging undergraduate research experiences, because studies have shown that depression is positively correlated with student stress ( Hish et al. , 2019 ).
While depression has not been explored in the context of undergraduate research experiences, depression has become a prominent concern surrounding graduate students conducting scientific research. A recent study that examined the “graduate student mental health crisis” ( Flaherty, 2018 ) found that work–life balance and graduate students’ relationships with their research advisors may be contributing to their depression ( Evans et al. , 2018 ). Specifically, this survey of 2279 PhD and master’s students from diverse fields of study, including the biological/physical sciences, showed that 39% of graduate students have experienced moderate to severe depression. Fifty-five percent of the graduate students with depression who were surveyed disagreed with the statement “I have good work life balance,” compared to only 21% of students with depression who agreed. Additionally, the study highlighted that more students with depression disagreed than agreed with the following statements: their advisors provided “real” mentorship, their advisors provided ample support, their advisors positively impacted their emotional or mental well-being, their advisors were assets to their careers, and they felt valued by their mentors. Another recent study identified that depression severity in biomedical doctoral students was significantly associated with graduate program climate, a perceived lack of employment opportunities, and the quality of students’ research training environment ( Nagy et al. , 2019 ). Environmental stress, academic stress, and family and monetary stress have also been shown to be predictive of depression severity in biomedical doctoral students ( Hish et al. , 2019 ). Further, one study found that self-esteem is negatively correlated and stress is positively correlated with graduate student depression; presumably research environments that challenge students’ self-esteem and induce stress are likely contributing to depressive symptoms among graduate students ( Kreger, 1995 ). While these studies have focused on graduate students, and there are certainly notable distinctions between graduate and undergraduate research, the research-related factors that affect graduate student depression, including work–life balance, relationships with mentors, research environment, stress, and self-esteem, may also be relevant to depression among undergraduates conducting research. Importantly, undergraduates in the United States have reported identical levels of depression as graduate students but are often less likely to seek mental health care services ( Wyatt and Oswalt, 2013 ), which is concerning if undergraduate research experiences exacerbate depression.
Based on the literature on the stressors of undergraduate research experiences and the literature identifying some potential causes of graduate student depression, we identified three aspects of undergraduate research that may exacerbate undergraduates’ depression. Mentoring: Mentors can be an integral part of a students’ research experience, bolstering their connections with others in the science community, scholarly productivity, and science identity, as well as providing many other benefits ( Thiry and Laursen, 2011 ; Prunuske et al. , 2013 ; Byars-Winston et al. , 2015 ; Aikens et al. , 2016 , 2017 ; Thompson et al. , 2016 ; Estrada et al. , 2018 ). However, recent literature has highlighted that poor mentoring can negatively affect undergraduate researchers ( Cooper et al. , 2019c ; Limeri et al. , 2019 ). Specifically, one study of 33 undergraduate researchers who had conducted research at 10 institutions identified seven major ways that they experienced negative mentoring, which included absenteeism, abuse of power, interpersonal mismatch, lack of career support, lack of psychosocial support, misaligned expectations, and unequal treatment ( Limeri et al. , 2019 ). We hypothesize negative mentoring experiences may be particularly harmful for students with depression, because support, particularly social support, has been shown to be important for helping individuals with depression cope with difficult circumstances ( Aneshensel and Stone, 1982 ; Grav et al. , 2012 ). Failure: Experiencing failure has been hypothesized to be an important aspect of undergraduate research experiences that may help students develop some the most distinguishing abilities of outstanding scientists, such as coping with failure, navigating challenges, and persevering ( Laursen et al. , 2010 ; Gin et al. , 2018 ; Henry et al. , 2019 ). However, experiencing failure and the stress and fatigue that often accompany it may be particularly tough for students with depression ( Aldwin and Greenberger, 1987 ; Mongrain and Blackburn, 2005 ). Lab environment: Fairness, inclusion/exclusion, and social support within one’s organizational environment have been shown to be key factors that cause people to either want to remain in the work place and be productive or to want to leave ( Barak et al. , 2006 ; Cooper et al. , 2019c ). We hypothesize that dealing with exclusion or a lack of social support may exacerbate depression for some students; patients with clinical depression react to social exclusion with more pronounced negative emotions than do individuals without clinical depression ( Jobst et al. , 2015 ). While there are likely other aspects of undergraduate research that affect student depression, we hypothesize that these factors have the potential to exacerbate negative research experiences for students with depression.
Depression has been shown to disproportionately affect many populations that are underrepresented or underserved within the scientific community, including females ( American College Health Association, 2018 ; Evans et al. , 2018 ), first-generation college students ( Jenkins et al. , 2013 ), individuals from low socioeconomic backgrounds ( Eisenberg et al. , 2007 ), members of the LGBTQ+ community ( Eisenberg et al. , 2007 ; Evans et al. , 2018 ), and people with disabilities ( Turner and Noh, 1988 ). Therefore, as the science community strives to be more diverse and inclusive ( Intemann, 2009 ), it is important that we understand more about the relationship between depression and scientific research, because negative experiences with depression in scientific research may be contributing to the underrepresentation of these groups. Specifically, more information is needed about how the research process and environment of research experiences may affect depression.
Given the high rate of depression among undergraduates, the links between depression and graduate research, the potentially challenging environment of undergraduate research, and how depression could disproportionately impact students from underserved communities, it is imperative to begin to explore the relationship between scientific research and depression among undergraduates to create research experiences that could maximize student success. In this exploratory interview study, we aimed to 1) describe how undergraduates’ symptoms of depression affect their research experiences, 2) understand how undergraduate research affects students’ feelings of depression, and 3) identify recommendations based on the literature and undergraduates’ reported experiences to promote a positive research experience for students with depression.
This study was done with an approved Arizona State University Institutional Review Board protocol #7247.
In Fall 2018, we surveyed undergraduate researchers majoring in the life sciences across 25 research-intensive (R1) public institutions across the United States (specific details about the recruitment of the students who completed the survey can be found in Cooper et al. (2019c) ). The survey asked students for their opinions about their undergraduate research experiences and their demographic information and whether they would be interested in participating in a follow-up interview related to their research experiences. For the purpose of this study, we exclusively interviewed students about their undergraduate research experiences in faculty member labs; we did not consider students’ experiences in CUREs. Of the 768 undergraduate researchers who completed the survey, 65% ( n = 496) indicated that they would be interested in participating in a follow-up interview. In Spring 2019, we emailed the 496 students, explaining that we were interested in interviewing students with depression about their experiences in undergraduate research. Our specific prompt was: “If you identify as having depression, we would be interested in hearing about your experience in undergraduate research in a 30–60 minute online interview.” We did not define depression in our email recruitment because we conducted think-aloud interviews with four undergraduates who all correctly interpreted what we meant by depression ( APA, 2013 ). We had 35 students agree to participate in the interview study. The interview participants represented 12 of the 25 R1 public institutions that were represented in the initial survey.
Student Interviews
We developed an interview script to explore our research questions. Specifically, we were interested in how students’ symptoms of depression affect their research experiences, how undergraduate research negatively affects student depression, and how undergraduate research positively affects student depression.
We recognized that mental health, and specifically depression, can be a sensitive topic to discuss with undergraduates, and therefore we tried to minimize any discomfort that the interviewees might experience during the interview. Specifically, we conducted think-aloud interviews with three graduate students who self-identified with having depression at the time of the interview. We asked them to note whether any interview questions made them uncomfortable. We also sought their feedback on questions given their experiences as persons with depression who had once engaged in undergraduate research. We revised the interview protocol after each think-aloud interview. Next, we conducted four additional think-aloud interviews with undergraduates conducting basic science or biology education research who identified with having depression to establish cognitive validity of the questions and to elicit additional feedback about any questions that might make someone uncomfortable. The questions were revised after each think-aloud interview until no question was unclear or misinterpreted by the students and we were confident that the questions minimized students’ potential discomfort ( Trenor et al. , 2011 ). A copy of the final interview script can be found in the Supplemental Material.
All interviews were individually conducted by one of two researchers (K.M.C. and L.E.G.) who conducted the think-aloud interviews together to ensure that their interviewing practices were as similar as possible. The interviews were approximately an hour long, and students received a $15 gift card for their participation.
Personal, Research, and Depression Demographics
All student demographics and information about students’ research experiences were collected using the survey distributed to students in Fall 2018. We collected personal demographics, including the participants’ gender, race/ethnicity, college generation status, transfer status, financial stability, year in college, major, and age. We also collected information about the students’ research experiences, including the length of their first research experiences, the average number of hours they spend in research per week, how they were compensated for research, who their primary mentors were, and the focus areas of their research.
In the United States, mental healthcare is disproportionately unavailable to Black and Latinx individuals, as well as those who come from low socioeconomic backgrounds ( Kataoka et al. , 2002 ; Howell and McFeeters, 2008 ; Santiago et al. , 2013 ). Therefore, to minimize a biased sample, we invited anyone who identified with having depression to participate in our study; we did not require students to be diagnosed with depression or to be treated for depression in order to participate. However, we did collect information about whether students had been formally diagnosed with depression and whether they had been treated for depression. After the interview, all participants were sent a link to a short survey that asked them if they had ever been diagnosed with depression and how, if at all, they had ever been treated for depression. A copy of these survey questions can be found in the Supplemental Material. The combined demographic information of the participants is in Table 1 . The demographics for each individual student can be found in the Supplemental Material.
a Students reported the time they had spent in research 6 months before being interviewed and only reported on the length of time of their first research experiences.
b Students were invited to report multiple ways in which they were treated for their depression; other treatments included lifestyle changes and meditation.
c Students were invited to report multiple means of compensation for their research if they had been compensated for their time in different ways.
d Students were asked whether they felt financially stable, particularly during the undergraduate research experience.
e Students reported who they work/worked with most closely during their research experiences.
f Staff members included lab coordinators or lab managers.
g Other focus areas of research included sociology, linguistics, psychology, and public health.
Interview Analysis
The initial interview analysis aimed to explore each idea that a participant expressed ( Charmaz, 2006 ) and to identify reoccurring ideas throughout the interviews. First, three authors (K.M.C., L.E.G., and S.E.B.) individually reviewed a different set of 10 interviews and took detailed analytic notes ( Birks and Mills, 2015 ). Afterward, the authors compared their notes and identified reoccurring themes throughout the interviews using open coding methods ( Saldaña, 2015 ).
Once an initial set of themes was established, two researchers (K.M.C. and L.E.G.) individually reviewed the same set of 15 randomly selected interviews to validate the themes identified in the initial analysis and to screen for any additional themes that the initial analysis may have missed. Each researcher took detailed analytic notes throughout the review of an interview, which they discussed after reviewing each interview. The researchers compared what quotes from each interview they categorized into each theme. Using constant comparison methods, they assigned quotes to each theme and constantly compared the quotes to ensure that each quote fit within the description of the theme ( Glesne and Peshkin, 1992 ). In cases in which quotes were too different from other quotes, a new theme was created. This approach allowed for multiple revisions of the themes and allowed the authors to define a final set of codes; the researchers created a final codebook with refined definitions of emergent themes (the final coding rubric can be found in the Supplemental Material). Once the final codebook was established, the researchers (K.M.C. and L.E.G.) individually coded seven additional interviews (20% of all interviews) using the coding rubric. The researchers compared their codes, and their Cohen’s κ interrater score for these seven interviews was at an acceptable level (κ = 0.88; Landis and Koch, 1977 ). One researcher (L.E.G.) coded the remaining 28 out of 35 interviews. The researchers determined that data saturation had been reached with the current sample and no further recruitment was needed ( Guest et al. , 2006 ). We report on themes that were mentioned by at least 20% of students in the interview study. In the Supplemental Material, we provide the final coding rubric with the number of participants whose interview reflected each theme ( Hannah and Lautsch, 2011 ). Reporting the number of individuals who reported themes within qualitative data can lead to inaccurate conclusions about the generalizability of the results to a broader population. These qualitative data are meant to characterize a landscape of experiences that students with depression have in undergraduate research rather than to make claims about the prevalence of these experiences ( Glesne and Peshkin, 1992 ). Because inferences about the importance of these themes cannot be drawn from these counts, they are not included in the results of the paper ( Maxwell, 2010 ). Further, the limited number of interviewees made it not possible to examine whether there were trends based on students’ demographics or characteristics of their research experiences (e.g., their specific area of study). Quotes were lightly edited for clarity by inserting clarification brackets and using ellipses to indicate excluded text. Pseudonyms were given to all students to protect their privacy.
The Effect of Depressive Symptoms on Undergraduate Research
We asked students to describe the symptoms associated with their depression. Students described experiencing anxiety that is associated with their depression; this could be anxiety that precedes their depression or anxiety that results from a depressive episode or a period of time when an individual has depression symptoms. Further, students described difficulty getting out of bed or leaving the house, feeling tired, a lack of motivation, being overly self-critical, feeling apathetic, and having difficulty concentrating. We were particularly interested in how students’ symptoms of depression affected their experiences in undergraduate research. During the think-aloud interviews that were conducted before the interview study, graduate and undergraduate students consistently described that their depression affected their motivation in research, their creativity in research, and their productivity in research. Therefore, we explicitly asked undergraduate researchers how, if at all, their depression affected these three factors. We also asked students to describe any additional ways in which their depression affected their research experiences. Undergraduate researchers commonly described five additional ways in which their depression affected their research; for a detailed description of each way students’ research was affected and for example quotes, see Table 2 . Students described that their depression negatively affected their productivity in the lab. Commonly, students described that their productivity was directly affected by a lack of motivation or because they felt less creative, which hindered the research process. Additionally, students highlighted that they were sometimes less productive because their depression sometimes caused them to struggle to engage intellectually with their research or caused them to have difficulty remembering or concentrating; students described that they could do mundane or routine tasks when they felt depressed, but that they had difficulty with more complex and intellectually demanding tasks. However, students sometimes described that even mundane tasks could be difficult when they were required to remember specific steps; for example, some students struggled recalling a protocol from memory when their depression was particularly severe. Additionally, students noted that their depression made them more self-conscious, which sometimes held them back from sharing research ideas with their mentors or from taking risks such as applying to competitive programs. In addition to being self-conscious, students highlighted that their depression caused them to be overly self-critical, and some described experiencing imposter phenomenon ( Clance and Imes, 1978 ) or feeling like they were not talented enough to be in research and were accepted into a lab by a fluke or through luck. Finally, students described that depression often made them feel less social, and they struggled to socially engage with other members of the lab when they were feeling down.
The Effect of Undergraduate Research Experiences on Student Depression
We also wanted to explore how research impacted students’ feelings of depression. Undergraduates described how research both positively and negatively affected their depression. In the following sections, we present aspects of undergraduate research and examine how each positively and/or negatively affected students’ depression using embedded student quotes to highlight the relationships between related ideas.
Lab Environment: Relationships with Others in the Lab.
Some aspects of the lab environment, which we define as students’ physical, social, or psychological research space, could be particularly beneficial for students with depression.
Specifically, undergraduate researchers perceived that comfortable and positive social interactions with others in the lab helped their depression. Students acknowledged how beneficial their relationships with graduate students and postdocs could be.
Marta: “I think always checking in on undergrads is important. It’s really easy [for us] to go a whole day without talking to anybody in the lab. But our grad students are like ‘Hey, what’s up? How’s school? What’s going on?’ (…) What helps me the most is having that strong support system. Sometimes just talking makes you feel better, but also having people that believe in you can really help you get out of that negative spiral. I think that can really help with depression.”
Kelley: “I know that anytime I need to talk to [my postdoc mentors] about something they’re always there for me. Over time we’ve developed a relationship where I know that outside of work and outside of the lab if I did want to talk to them about something I could talk to them. Even just talking to someone about hobbies and having that relationship alone is really helpful [for depression].”
In addition to highlighting the importance of developing relationships with graduate students or postdocs in the lab, students described that forming relationships with other undergraduates in the lab also helped their depression. Particularly, students described that other undergraduate researchers often validated their feelings about research, which in turn helped them realize that what they are thinking or feeling is normal, which tended to alleviate their negative thoughts. Interestingly, other undergraduates experiencing the same issues could sometimes help buffer them from perceiving that a mentor did not like them or that they were uniquely bad at research. In this article, we use the term “mentor” to refer to anyone who students referred to in the interviews as being their mentors or managing their research experiences; this includes graduate students, postdoctoral scholars, lab managers, and primary investigators (PIs).
Abby: “One of my best friends is in the lab with me. A lot of that friendship just comes from complaining about our stress with the lab and our annoyance with people in the lab. Like when we both agree like, ‘Yeah, the grad students were really off today, it wasn’t us,’ that helps. ‘It wasn’t me, it wasn’t my fault that we were having a rough day in lab; it was the grad students.’ Just being able to realize, ‘Hey, this isn’t all caused by us,’ you know? (…) We understand the stresses in the lab. We understand the details of what each other are doing in the lab, so when something doesn’t work out, we understand that it took them like eight hours to do that and it didn’t work. We provide empathy on a different level.”
Meleana: “It’s great to have solidarity in being confused about something, and it’s just that is a form of validation for me too. When we leave a lab meeting and I look at [another undergrad] I’m like, ‘Did you understand anything that they were just saying?’ And they’re like, ‘Oh, no.’ (…) It’s just really validating to hear from the other undergrads that we all seem to be struggling with the same things.”
Developing positive relationships with faculty mentors or PIs also helped alleviate some students’ depressive feelings, particularly when PIs shared their own struggles with students. This also seemed to normalize students’ concerns about their own experiences.
Alexandra: “[Talking with my PI] is helpful because he would talk about his struggles, and what he faced. A lot of it was very similar to my struggles. For example, he would say, ‘Oh, yeah, I failed this exam that I studied so hard for. I failed the GRE and I paid so much money to prepare for it.’ It just makes [my depression] better, like okay, this is normal for students to go through this. It’s not an out of this world thing where if you fail, you’re a failure and you can’t move on from it.”
Students’ relationships with others in the lab did not always positively impact their depression. Students described instances when the negative moods of the graduate students and PIs would often set the tone of the lab, which in turn worsened the mood of the undergraduate researchers.
Abby: “Sometimes [the grad students] are not in a good mood. The entire vibe of the lab is just off, and if you make a joke and it hits somebody wrong, they get all mad. It really depends on the grad students and the leadership and the mood that they’re in.”
Interviewer: “How does it affect your depression when the grad students are in a bad mood?”
Abby: “It definitely makes me feel worse. It feels like, again, that I really shouldn’t go ask them for help because they’re just not in the mood to help out. It makes me have more pressure on myself, and I have deadlines I need to meet, but I have a question for them, but they’re in a bad mood so I can’t ask. That’s another day wasted for me and it just puts more stress, which just adds to the depression.”
Additionally, some students described even more concerning behavior from research mentors, which negatively affected their depression.
Julie: “I had a primary investigator who is notorious in the department for screaming at people, being emotionally abusive, unreasonable, et cetera. (…) [He was] kind of harassing people, demeaning them, lying to them, et cetera, et cetera. (…) Being yelled at and constantly demeaned and harassed at all hours of the day and night, that was probably pretty bad for me.”
While the relationships between undergraduates and graduate, postdoc, and faculty mentors seemed to either alleviate or worsen students’ depressive symptoms, depending on the quality of the relationship, students in this study exclusively described their relationships with other undergraduates as positive for their depression. However, students did note that undergraduate research puts some of the best and brightest undergraduates in the same environment, which can result in students comparing themselves with their peers. Students described that this comparison would often lead them to feel badly about themselves, even though they would describe their personal relationship with a person to be good.
Meleana: “In just the research field in general, just feeling like I don’t really measure up to the people around me [can affect my depression]. A lot of the times it’s the beginning of a little spiral, mental spiral. There are some past undergrads that are talked about as they’re on this pedestal of being the ideal undergrads and that they were just so smart and contributed so much to the lab. I can never stop myself from wondering like, ‘Oh, I wonder if I’m having a contribution to the lab that’s similar or if I’m just another one of the undergrads that does the bare minimum and passes through and is just there.’”
Natasha: “But, on the other hand, [having another undergrad in the lab] also reminded me constantly that some people are invested in this and meant to do this and it’s not me. And that some people know a lot more than I do and will go further in this than I will.”
While students primarily expressed that their relationships with others in the lab affected their depression, some students explained that they struggled most with depression when the lab was empty; they described that they did not like being alone in the lab, because a lack of stimulation allowed their minds to be filled with negative thoughts.
Mia: “Those late nights definitely didn’t help [my depression]. I am alone, in the entire building. I’m left alone to think about my thoughts more, so not distracted by talking to people or interacting with people. I think more about how I’m feeling and the lack of progress I’m making, and the hopelessness I’m feeling. That kind of dragged things on, and I guess deepened my depression.”
Freddy: “Often times when I go to my office in the evening, that is when I would [ sic ] be prone to be more depressed. It’s being alone. I think about myself or mistakes or trying to correct mistakes or whatever’s going on in my life at the time. I become very introspective. I think I’m way too self-evaluating, way too self-deprecating and it’s when I’m alone when those things are really, really triggered. When I’m talking with somebody else, I forget about those things.”
In sum, students with depression highlighted that a lab environment full of positive and encouraging individuals was helpful for their depression, whereas isolating or competitive environments and negative interactions with others often resulted in more depressive feelings.
Doing Science: Experiencing Failure in Research, Getting Help, Receiving Feedback, Time Demands, and Important Contributions.
In addition to the lab environment, students also described that the process of doing science could affect their depression. Specifically, students explained that a large contributor to their depression was experiencing failure in research.
Interviewer: “Considering your experience in undergraduate research, what tends to trigger your feelings of depression?”
Heather: “Probably just not getting things right. Having to do an experiment over and over again. You don’t get the results you want. (…) The work is pretty meticulous and it’s frustrating when I do all this work, I do a whole experiment, and then I don’t get any results that I can use. That can be really frustrating. It adds to the stress. (…) It’s hard because you did all this other stuff before so you can plan for the research, and then something happens and all the stuff you did was worthless basically.”
Julie: “I felt very negatively about myself [when a project failed] and pretty panicked whenever something didn’t work because I felt like it was a direct reflection on my effort and/or intelligence, and then it was a big glaring personal failure.”
Students explained that their depression related to failing in research was exacerbated if they felt as though they could not seek help from their research mentors. Perceived insufficient mentor guidance has been shown to be a factor influencing student intention to leave undergraduate research ( Cooper et al. , 2019c ). Sometimes students talked about their research mentors being unavailable or unapproachable.
Michelle: “It just feels like [the graduate students] are not approachable. I feel like I can’t approach them to ask for their understanding in a certain situation. It makes [my depression] worse because I feel like I’m stuck, and that I’m being limited, and like there’s nothing I can do. So then I kind of feel like it’s my fault that I can’t do anything.”
Other times, students described that they did not seek help in fear that they would be negatively evaluated in research, which is a fear of being judged by others ( Watson and Friend, 1969 ; Weeks et al. , 2005 ; Cooper et al. , 2018 ). That is, students fear that their mentor would think negatively about them or judge them if they were to ask questions that their mentor thought they should know the answer to.
Meleana: “I would say [my depression] tends to come out more in being more reserved in asking questions because I think that comes more like a fear-based thing where I’m like, ‘Oh, I don’t feel like I’m good enough and so I don’t want to ask these questions because then my mentors will, I don’t know, think that I’m dumb or something.’”
Conversely, students described that mentors who were willing to help them alleviated their depressive feelings.
Crystal: “Yeah [my grad student] is always like, ‘Hey, I can check in on things in the lab because you’re allowed to ask me for that, you’re not totally alone in this,’ because he knows that I tend to take on all this responsibility and I don’t always know how to ask for help. He’s like, ‘You know, this is my lab too and I am here to help you as well,’ and just reminds me that I’m not shouldering this burden by myself.”
Ashlyn: “The graduate student who I work with is very kind and has a lot of patience and he really understands a lot of things and provides simple explanations. He does remind me about things and he will keep on me about certain tasks that I need to do in an understanding way, and it’s just because he’s patient and he listens.”
In addition to experiencing failure in science, students described that making mistakes when doing science also negatively affected their depression.
Abby: “I guess not making mistakes on experiments [is important in avoiding my depression]. Not necessarily that your experiment didn’t turn out to produce the data that you wanted, but just adding the wrong enzyme or messing something up like that. It’s like, ‘Oh, man,’ you know? You can get really down on yourself about that because it can be embarrassing.”
Commonly, students described that the potential for making mistakes increased their stress and anxiety regarding research; however, they explained that how other people responded to a potential mistake was what ultimately affected their depression.
Briana: “Sometimes if I made a mistake in correctly identifying an eye color [of a fly], [my PI] would just ridicule me in front of the other students. He corrected me but his method of correcting was very discouraging because it was a ridicule. It made the others laugh and I didn’t like that.”
Julie: “[My PI] explicitly [asked] if I had the dedication for science. A lot of times he said I had terrible judgment. A lot of times he said I couldn’t be trusted. Once I went to a conference with him, and, unfortunately, in front of another professor, he called me a klutz several times and there was another comment about how I never learn from my mistakes.”
When students did do things correctly, they described how important it could be for them to receive praise from their mentors. They explained that hearing praise and validation can be particularly helpful for students with depression, because their thoughts are often very negative and/or because they have low self-esteem.
Crystal: “[Something that helps my depression is] I have text messages from [my graduate student mentor] thanking me [and another undergraduate researcher] for all of the work that we’ve put in, that he would not be able to be as on track to finish as he is if he didn’t have our help.”
Interviewer: “Why is hearing praise from your mentor helpful?”
Crystal: “Because a lot of my depression focuses on everybody secretly hates you, nobody likes you, you’re going to die alone. So having that validation [from my graduate mentor] is important, because it flies in the face of what my depression tells me.”
Brian: “It reminds you that you exist outside of this negative world that you’ve created for yourself, and people don’t see you how you see yourself sometimes.”
Students also highlighted how research could be overwhelming, which negatively affected their depression. Particularly, students described that research demanded a lot of their time and that their mentors did not always seem to be aware that they were juggling school and other commitments in addition to their research. This stress exacerbated their depression.
Rose: “I feel like sometimes [my grad mentors] are not very understanding because grad students don’t take as many classes as [undergrads] do. I think sometimes they don’t understand when I say I can’t come in at all this week because I have finals and they’re like, ‘Why though?’”
Abby: “I just think being more understanding of student life would be great. We have classes as well as the lab, and classes are the priority. They forget what it’s like to be a student. You feel like they don’t understand and they could never understand when you say like, ‘I have three exams this week,’ and they’re like, ‘I don’t care. You need to finish this.’”
Conversely, some students reported that their research labs were very understanding of students’ schedules. Interestingly, these students talked most about how helpful it was to be able to take a mental health day and not do research on days when they felt down or depressed.
Marta: “My lab tech is very open, so she’ll tell us, ‘I can’t come in today. I have to take a mental health day.’ So she’s a really big advocate for that. And I think I won’t personally tell her that I’m taking a mental health day, but I’ll say, ‘I can’t come in today, but I’ll come in Friday and do those extra hours.’ And she’s like, ‘OK great, I’ll see you then.’ And it makes me feel good, because it helps me take care of myself first and then I can take care of everything else I need to do, which is amazing.”
Meleana: “Knowing that [my mentors] would be flexible if I told them that I’m crazy busy and can’t come into work nearly as much this week [helps my depression]. There is flexibility in allowing me to then care for myself.”
Interviewer: “Why is the flexibility helpful given the depression?”
Meleana: “Because sometimes for me things just take a little bit longer when I’m feeling down. I’m just less efficient to be honest, and so it’s helpful if I feel like I can only go into work for 10 hours in a week. It declutters my brain a little bit to not have to worry about all the things I have to do in work in addition the things that I need to do for school or clubs, or family or whatever.”
Despite the demanding nature of research, a subset of students highlighted that their research and research lab provided a sense of stability or familiarity that distracted them from their depression.
Freddy: “I’ll [do research] to run away from those [depressive] feelings or whatever. (…) I find sadly, I hate to admit it, but I do kind of run to [my lab]. I throw myself into work to distract myself from the feelings of depression and sadness.”
Rose: “When you’re sad or when you’re stressed you want to go to things you’re familiar with. So because lab has always been in my life, it’s this thing where it’s going to be there for me I guess. It’s like a good book that you always go back to and it’s familiar and it makes you feel good. So that’s how lab is. It’s not like the greatest thing in the world but it’s something that I’m used to, which is what I feel like a lot of people need when they’re sad and life is not going well.”
Many students also explained that research positively affects their depression because they perceive their research contribution to be important.
Ashlyn: “I feel like I’m dedicating myself to something that’s worthy and something that I believe in. It’s really important because it contextualizes those times when I am feeling depressed. It’s like, no, I do have these better things that I’m working on. Even when I don’t like myself and I don’t like who I am, which is again, depression brain, I can at least say, ‘Well, I have all these other people relying on me in research and in this area and that’s super important.’”
Jessica: “I mean, it just felt like the work that I was doing had meaning and when I feel like what I’m doing is actually going to contribute to the world, that usually really helps with [depression] because it’s like not every day you can feel like you’re doing something impactful.”
In sum, students highlighted that experiencing failure in research and making mistakes negatively contributed to depression, especially when help was unavailable or research mentors had a negative reaction. Additionally, students acknowledged that the research could be time-consuming, but that research mentors who were flexible helped assuage depressive feelings that were associated with feeling overwhelmed. Finally, research helped some students’ depression, because it felt familiar, provided a distraction from depression, and reminded students that they were contributing to a greater cause.
We believe that creating more inclusive research environments for students with depression is an important step toward broadening participation in science, not only to ensure that we are not discouraging students with depression from persisting in science, but also because depression has been shown to disproportionately affect underserved and underrepresented groups in science ( Turner and Noh, 1988 ; Eisenberg et al. , 2007 ; Jenkins et al. , 2013 ; American College Health Association, 2018 ). We initially hypothesized that three features of undergraduate research—research mentors, the lab environment, and failure—may have the potential to exacerbate student depression. We found this to be true; students highlighted that their relationships with their mentors as well as the overall lab environment could negatively affect their depression, but could also positively affect their research experiences. Students also noted that they struggled with failure, which is likely true of most students, but is known to be particularly difficult for students with depression ( Elliott et al. , 1997 ). We expand upon our findings by integrating literature on depression with the information that students provided in the interviews about how research mentors can best support students. We provide a set of evidence-based recommendations focused on mentoring, the lab environment, and failure for research mentors wanting to create more inclusive research environments for students with depression. Notably, only the first recommendation is specific to students with depression; the others reflect recommendations that have previously been described as “best practices” for research mentors ( NASEM, 2017 , 2019 ; Sorkness et al. , 2017 ) and likely would benefit most students. However, we examine how these recommendations may be particularly important for students with depression. As we hypothesized, these recommendations directly address three aspects of research: mentors, lab environment, and failure. A caveat of these recommendations is that more research needs to be done to explore the experiences of students with depression and how these practices actually impact students with depression, but our national sample of undergraduate researchers with depression can provide an initial starting point for a discussion about how to improve research experiences for these students.
Recommendations to Make Undergraduate Research Experiences More Inclusive for Students with Depression
Recognize student depression as a valid illness..
Allow students with depression to take time off of research by simply saying that they are sick and provide appropriate time for students to recover from depressive episodes. Also, make an effort to destigmatize mental health issues.
Undergraduate researchers described both psychological and physical symptoms that manifested as a result of their depression and highlighted how such symptoms prevented them from performing to their full potential in undergraduate research. For example, students described how their depression would cause them to feel unmotivated, which would often negatively affect their research productivity. In cases in which students were motivated enough to come in and do their research, they described having difficulty concentrating or engaging in the work. Further, when doing research, students felt less creative and less willing to take risks, which may alter the quality of their work. Students also sometimes struggled to socialize in the lab. They described feeling less social and feeling overly self-critical. In sum, students described that, when they experienced a depressive episode, they were not able to perform to the best of their ability, and it sometimes took a toll on them to try to act like nothing was wrong, when they were internally struggling with depression. We recommend that research mentors treat depression like any other physical illness; allowing students the chance to recover when they are experiencing a depressive episode can be extremely important to students and can allow them to maximize their productivity upon returning to research ( Judd et al. , 2000 ). Students explained that if they are not able to take the time to focus on recovering during a depressive episode, then they typically continue to struggle with depression, which negatively affects their research. This sentiment is echoed by researchers in psychiatry who have found that patients who do not fully recover from a depressive episode are more likely to relapse and to experience chronic depression ( Judd et al. , 2000 ). Students described not doing tasks or not showing up to research because of their depression but struggling with how to share that information with their research mentors. Often, students would not say anything, which caused them anxiety because they were worried about what others in the lab would say to them when they returned. Admittedly, many students understood why this behavior would cause their research mentors to be angry or frustrated, but they weighed the consequences of their research mentors’ displeasure against the consequences of revealing their depression and decided it was not worth admitting to being depressed. This aligns with literature that suggests that when individuals have concealable stigmatized identities, or identities that can be hidden and that carry negative stereotypes, such as depression, they will often keep them concealed to avoid negative judgment or criticism ( Link and Phelan, 2001 ; Quinn and Earnshaw, 2011 ; Jones and King, 2014 ; Cooper and Brownell, 2016 ; Cooper et al. , 2019b ; Cooper et al ., unpublished data ). Therefore, it is important for research mentors to be explicit with students that 1) they recognize mental illness as a valid sickness and 2) that students with mental illness can simply explain that they are sick if they need to take time off. This may be useful to overtly state on a research website or in a research syllabus, contract, or agreement if mentors use such documents when mentoring undergraduates in their lab. Further, research mentors can purposefully work to destigmatize mental health issues by explicitly stating that struggling with mental health issues, such as depression and anxiety, is common. While we do not recommend that mentors ask students directly about depression, because this can force students to share when they are not comfortable sharing, we do recommend providing opportunities for students to reveal their depression ( Chaudoir and Fisher, 2010 ). Mentors can regularly check in with students about how they’re doing, and talk openly about the importance of mental health, which may increase the chance that students may feel comfortable revealing their depression ( Chaudoir and Quinn, 2010 ; Cooper et al ., unpublished data ).
Foster a Positive Lab Environment.
Encourage positivity in the research lab, promote working in shared spaces to enhance social support among lab members, and alleviate competition among undergraduates.
Students in this study highlighted that the “leadership” of the lab, meaning graduate students, postdocs, lab managers, and PIs, were often responsible for establishing the tone of the lab; that is, if they were in a bad mood it would trickle down and negatively affect the moods of the undergraduates. Explicitly reminding lab leadership that their moods can both positively and negatively affect undergraduates may be important in establishing a positive lab environment. Further, students highlighted how they were most likely to experience negative thoughts when they were alone in the lab. Therefore, it may be helpful to encourage all lab members to work in a shared space to enhance social interactions among students and to maximize the likelihood that undergraduates have access to help when needed. A review of 51 studies in psychiatry supported our undergraduate researchers’ perceptions that social relationships positively impacted their depression; the study found that perceived emotional support (e.g., someone available to listen or give advice), perceived instrumental support (e.g., someone available to help with tasks), and large diverse social networks (e.g., being socially connected to a large number of people) were significantly protective against depression ( Santini et al. , 2015 ). Additionally, despite forming positive relationships with other undergraduates in the lab, many undergraduate researchers admitted to constantly comparing themselves with other undergraduates, which led them to feel inferior, negatively affecting their depression. Some students talked about mentors favoring current undergraduates or talking positively about past undergraduates, which further exacerbated their feelings of inferiority. A recent study of students in undergraduate research experiences highlighted that inequitable distribution of praise to undergraduates can create negative perceptions of lab environments for students (Cooper et al. , 2019). Further, the psychology literature has demonstrated that when people feel insecure in their social environments, it can cause them to focus on a hierarchical view of themselves and others, which can foster feelings of inferiority and increase their vulnerability to depression ( Gilbert et al. , 2009 ). Thus, we recommend that mentors be conscious of their behaviors so that they do not unintentionally promote competition among undergraduates or express favoritism toward current or past undergraduates. Praise is likely best used without comparison with others and not done in a public way, although more research on the impact of praise on undergraduate researchers needs to be done. While significant research has been done on mentoring and mentoring relationships in the context of undergraduate research ( Byars-Winston et al. , 2015 ; Aikens et al. , 2017 ; Estrada et al. , 2018 ; Limeri et al. , 2019 ; NASEM, 2019 ), much less has been done on the influence of the lab environment broadly and how people in nonmentoring roles can influence one another. Yet, this study indicates the potential influence of many different members of the lab, not only their mentors, on students with depression.
Develop More Personal Relationships with Undergraduate Researchers and Provide Sufficient Guidance.
Make an effort to establish more personal relationships with undergraduates and ensure that they perceive that they have access to sufficient help and guidance with regard to their research.
When we asked students explicitly how research mentors could help create more inclusive environments for undergraduate researchers with depression, students overwhelmingly said that building mentor–student relationships would be extremely helpful. Students suggested that mentors could get to know students on a more personal level by asking about their career interests or interests outside of academia. Students also remarked that establishing a more personal relationship could help build the trust needed in order for undergraduates to confide in their research mentors about their depression, which they perceived would strengthen their relationships further because they could be honest about when they were not feeling well or their mentors might even “check in” with them in times where they were acting differently than normal. This aligns with studies showing that undergraduates are most likely to reveal a stigmatized identity, such as depression, when they form a close relationship with someone ( Chaudoir and Quinn, 2010 ). Many were intimidated to ask for research-related help from their mentors and expressed that they wished they had established a better relationship so that they would feel more comfortable. Therefore, we recommend that research mentors try to establish relationships with their undergraduates and explicitly invite them to ask questions or seek help when needed. These recommendations are supported by national recommendations for mentoring ( NASEM, 2019 ) and by literature that demonstrates that both social support (listening and talking with students) and instrumental support (providing students with help) have been shown to be protective against depression ( Santini et al. , 2015 ).
Treat Undergraduates with Respect and Remember to Praise Them.
Avoid providing harsh criticism and remember to praise undergraduates. Students with depression often have low self-esteem and are especially self-critical. Therefore, praise can help calibrate their overly negative self-perceptions.
Students in this study described that receiving criticism from others, especially harsh criticism, was particularly difficult for them given their depression. Multiple studies have demonstrated that people with depression can have an abnormal or maladaptive response to negative feedback; scientists hypothesize that perceived failure on a particular task can trigger failure-related thoughts that interfere with subsequent performance ( Eshel and Roiser, 2010 ). Thus, it is important for research mentors to remember to make sure to avoid unnecessarily harsh criticisms that make students feel like they have failed (more about failure is described in the next recommendation). Further, students with depression often have low self-esteem or low “personal judgment of the worthiness that is expressed in the attitudes the individual holds towards oneself” ( Heatherton et al. , 2003 , p. 220; Sowislo and Orth, 2013 ). Specifically, a meta-analysis of longitudinal studies found that low self-esteem is predictive of depression ( Sowislo and Orth, 2013 ), and depression has also been shown to be highly related to self-criticism ( Luyten et al. , 2007 ). Indeed, nearly all of the students in our study described thinking that they are “not good enough,” “worthless,” or “inadequate,” which is consistent with literature showing that people with depression are self-critical ( Blatt et al. , 1982 ; Gilbert et al. , 2006 ) and can be less optimistic of their performance on future tasks and rate their overall performance on tasks less favorably than their peers without depression ( Cane and Gotlib, 1985 ). When we asked students what aspects of undergraduate research helped their depression, students described that praise from their mentors was especially impactful, because they thought so poorly of themselves and they needed to hear something positive from someone else in order to believe it could be true. Praise has been highlighted as an important aspect of mentoring in research for many years ( Ashford, 1996 ; Gelso and Lent, 2000 ; Brown et al. , 2009 ) and may be particularly important for students with depression. In fact, praise has been shown to enhance individuals’ motivation and subsequent productivity ( Hancock, 2002 ; Henderlong and Lepper, 2002 ), factors highlighted by students as negatively affecting their depression. However, something to keep in mind is that a student with depression and a student without depression may process praise differently. For a student with depression, a small comment that praises the student’s work may not be sufficient for the student to process that comment as praise. People with depression are hyposensitive to reward or have reward-processing deficits ( Eshel and Roiser, 2010 ); therefore, praise may affect students without depression more positively than it would affect students with depression. Research mentors should be mindful that students with depression often have a negative view of themselves, and while students report that praise is extremely important, they may have trouble processing such positive feedback.
Normalize Failure and Be Explicit about the Importance of Research Contributions.
Explicitly remind students that experiencing failure is expected in research. Also explain to students how their individual work relates to the overall project so that they can understand how their contributions are important. It can also be helpful to explain to students why the research project as a whole is important in the context of the greater scientific community.
Experiencing failure has been thought to be a potentially important aspect of undergraduate research, because it may provide students with the potential to develop integral scientific skills such as the ability to navigate challenges and persevere ( Laursen et al. , 2010 ; Gin et al. , 2018 ; Henry et al. , 2019 ). However, in the interviews, students described that when their science experiments failed, it was particularly tough for their depression. Students’ negative reaction to experiencing failure in research is unsurprising, given recent literature that has predicted that students may be inadequately prepared to approach failure in science ( Henry et al. , 2019 ). However, the literature suggests that students with depression may find experiencing failure in research to be especially difficult ( Elliott et al. , 1997 ; Mongrain and Blackburn, 2005 ; Jones et al. , 2009 ). One potential hypothesis is that students with depression may be more likely to have fixed mindsets or more likely to believe that their intelligence and capacity for specific abilities are unchangeable traits ( Schleider and Weisz, 2018 ); students with a fixed mindset have been hypothesized to have particularly negative responses to experiencing failure in research, because they are prone to quitting easily in the face of challenges and becoming defensive when criticized ( Forsythe and Johnson, 2017 ; Dweck, 2008 ). A study of life sciences undergraduates enrolled in CUREs identified three strategies of students who adopted adaptive coping mechanisms, or mechanisms that help an individual maintain well-being and/or move beyond the stressor when faced with failure in undergraduate research: 1) problem solving or engaging in strategic planning and decision making, 2) support seeking or finding comfort and help with research, and 3) cognitive restructuring or reframing a problem from negative to positive and engaging in self encouragement ( Gin et al. , 2018 ). We recommend that, when undergraduates experience failure in science, their mentors be proactive in helping them problem solve, providing help and support, and encouraging them. Students also explained that mentors sharing their own struggles as undergraduate and graduate students was helpful, because it normalized failure. Sharing personal failures in research has been recommended as an important way to provide students with psychosocial support during research ( NASEM, 2019 ). We also suggest that research mentors take time to explain to students why their tasks in the lab, no matter how small, contribute to the greater research project ( Cooper et al. , 2019a ). Additionally, it is important to make sure that students can explain how the research project as a whole is contributing to the scientific community ( Gin et al. , 2018 ). Students highlighted that contributing to something important was really helpful for their depression, which is unsurprising, given that studies have shown that meaning in life or people’s comprehension of their life experiences along with a sense of overarching purpose one is working toward has been shown to be inversely related to depression ( Steger, 2013 ).
Limitations and Future Directions
This work was a qualitative interview study intended to document a previously unstudied phenomenon: depression in the context of undergraduate research experiences. We chose to conduct semistructured interviews rather than a survey because of the need for initial exploration of this area, given the paucity of prior research. A strength of this study is the sampling approach. We recruited a national sample of 35 undergraduates engaged in undergraduate research at 12 different public R1 institutions. Despite our representative sample from R1 institutions, these findings may not be generalizable to students at other types of institutions; lab environments, mentoring structures, and interactions between faculty and undergraduate researchers may be different at other institution types (e.g., private R1 institutions, R2 institutions, master’s-granting institutions, primarily undergraduate institutions, and community colleges), so we caution against making generalizations about this work to all undergraduate research experiences. Future work could assess whether students with depression at other types of institutions have similar experiences to students at research-intensive institutions. Additionally, we intentionally did not explore the experiences of students with specific identities owing to our sample size and the small number of students in any particular group (e.g., students of a particular race, students with a graduate mentor as the primary mentor). We intend to conduct future quantitative studies to further explore how students’ identities and aspects of their research affect their experiences with depression in undergraduate research.
The students who participated in the study volunteered to be interviewed about their depression; therefore, it is possible that depression is a more salient part of these students’ identities and/or that they are more comfortable talking about their depression than the average population of students with depression. It is also important to acknowledge the personal nature of the topic and that some students may not have fully shared their experiences ( Krumpal, 2013 ), particularly those experiences that may be emotional or traumatizing ( Kahn and Garrison, 2009 ). Additionally, our sample was skewed toward females (77%). While females do make up approximately 60% of students in biology programs on average ( Eddy et al. , 2014 ), they are also more likely to report experiencing depression ( American College Health Association, 2018 ; Evans et al. , 2018 ). However, this could be because women have higher rates of depression or because males are less likely to report having depression; clinical bias, or practitioners’ subconscious tendencies to overlook male distress, may underestimate depression rates in men ( Smith et al. , 2018 ). Further, females are also more likely to volunteer to participate in studies ( Porter and Whitcomb, 2005 ); therefore, many interview studies have disproportionately more females in the data set (e.g., Cooper et al. , 2017 ). If we had been able to interview more male students, we might have identified different findings. Additionally, we limited our sample to life sciences students engaged in undergraduate research at public R1 institutions. It is possible that students in other majors may have different challenges and opportunities for students with depression, as well as different disciplinary stigmas associated with mental health.
In this exploratory interview study, we identified a variety of ways in which depression in undergraduates negatively affected their undergraduate research experiences. Specifically, we found that depression interfered with students’ motivation and productivity, creativity and risk-taking, engagement and concentration, and self-perception and socializing. We also identified that research can negatively affect depression in undergraduates. Experiencing failure in research can exacerbate student depression, especially when students do not have access to adequate guidance. Additionally, being alone or having negative interactions with others in the lab worsened students’ depression. However, we also found that undergraduate research can positively affect students’ depression. Research can provide a familiar space where students can feel as though they are contributing to something meaningful. Additionally, students reported that having access to adequate guidance and a social support network within the research lab also positively affected their depression. We hope that this work can spark conversations about how to make undergraduate research experiences more inclusive of students with depression and that it can stimulate additional research that more broadly explores the experiences of undergraduate researchers with depression.
Important note
If you or a student experience symptoms of depression and want help, there are resources available to you. Many campuses provide counseling centers equipped to provide students, staff, and faculty with treatment for depression, as well as university-dedicated crisis hotlines. Additionally, there are free 24/7 services such as Crisis Text Line, which allows you to text a trained live crisis counselor (Text “CONNECT” to 741741; Text Depression Hotline , 2019 ), and phone hotlines such as the National Suicide Prevention Lifeline at 1-800-273-8255 (TALK). You can also learn more about depression and where to find help near you through the Anxiety and Depression Association of American website: https://adaa.org ( Anxiety and Depression Association of America, 2019 ) and the Depression and Biopolar Support Alliance: http://dbsalliance.org ( Depression and Biopolar Support Alliance, 2019 ).
ACKNOWLEDGMENTS
We are extremely grateful to the undergraduate researchers who shared their thoughts and experiences about depression with us. We acknowledge the ASU LEAP Scholars for helping us create the original survey and Rachel Scott for her helpful feedback on earlier drafts of this article. L.E.G. was supported by a National Science Foundation (NSF) Graduate Fellowship (DGE-1311230) and K.M.C. was partially supported by a Howard Hughes Medical Institute (HHMI) Inclusive Excellence grant (no. 11046) and an NSF grant (no. 1644236). Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF or HHMI.
- Aikens, M. L., Robertson, M. M., Sadselia, S., Watkins, K., Evans, M., Runyon, C. R. , … & Dolan, E. L. ( 2017 ). Race and gender differences in undergraduate research mentoring structures and research outcomes . CBE—Life Sciences Education , 16 (2), ar34. Link , Google Scholar
- Aikens, M. L., Sadselia, S., Watkins, K., Evans, M., Eby, L. T., & Dolan, E. L. ( 2016 ). A social capital perspective on the mentoring of undergraduate life science researchers: An empirical study of undergraduate–postgraduate–faculty triads . CBE—Life Sciences Education , 15 (2), ar16. Link , Google Scholar
- Aldwin, C., & Greenberger, E. ( 1987 ). Cultural differences in the predictors of depression . American Journal of Community Psychology , 15 (6), 789–813. Medline , Google Scholar
- American Association for the Advancement of Science . ( 2011 ). Vision and change in undergraduate biology education: A call to action . Retrieved November 29, 2019, from http://visionandchange.org/files/2013/11/aaas-VISchange-web1113.pdf Google Scholar
- American College Health Association . ( 2018 ). Undergraduate reference group executive summary, Fall 2018 . Retrieved November 29, 2019, from www.acha.org/documents/ncha/NCHA-II_Fall_2018_Reference_Group_Executive_Summary.pdf Google Scholar
- American College Health Association . ( 2019 ). Retrieved November 29, 2019, from NCHA-II_SPRING_2019_UNDERGRADUATE_REFERENCE_GROUP_DATA_REPORT.pdf www.acha.org/documents/ncha/NCHA-II_SPRING_2019_UNDERGRADUATE_REFERENCE_GROUP_DATA_REPORT.pdf Google Scholar
- American Psychiatric Association . ( 2013 ). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: American Psychiatric Publishing. Google Scholar
- Aneshensel, C. S., & Stone, J. D. ( 1982 ). Stress and depression: A test of the buffering model of social support . Archives of General Psychiatry , 39 (12), 1392–1396. Medline , Google Scholar
- Anxiety and Depression Association of America . ( 2019 ). Home page . Retrieved November 29, 2019, from https://adaa.org Google Scholar
- Armbruster, P., Patel, M., Johnson, E., & Weiss, M. ( 2009 ). Active learning and student-centered pedagogy improve student attitudes and performance in introductory biology . CBE—Life Sciences Education , 8 (3), 203–213. Link , Google Scholar
- Ashford, S. J. ( 1996 ). Working with doctoral students: Rhythms of Academic Life: Personal Accounts of Careers in Academia . In Front, P. J.Taylor, M. S. (Eds.), Rhythms of Academic Life: Personal Accounts of Careers in Academia (pp. 153–158). Thousand Oaks, CA: Sage. Google Scholar
- Auchincloss, L. C., Laursen, S. L., Branchaw, J. L., Eagan, K., Graham, M., Hanauer, D. I. , … & Rowland, S. ( 2014 ). Assessment of course-based undergraduate research experiences: A meeting report . CBE—Life Sciences Education , 13 (1), 29–40. Link , Google Scholar
- Barak, M. E. M., Levin, A., Nissly, J. A., & Lane, C. J. ( 2006 ). Why do they leave? Modeling child welfare workers’ turnover intentions . Children and Youth Services Review , 28 (5), 548–577. Google Scholar
- Bauer, K. W., & Bennett, J. S. ( 2003 ). Alumni perceptions used to assess undergraduate research experience . Journal of Higher Education , 74 (2), 210–230. Google Scholar
- Birks, M., & Mills, J. ( 2015 ). Grounded theory: A practical guide . Thousand Oaks, CA: Sage. Google Scholar
- Blatt, S. J., Quinlan, D. M., Chevron, E. S., McDonald, C., & Zuroff, D. ( 1982 ). Dependency and self-criticism: Psychological dimensions of depression . Journal of Consulting and Clinical Psychology , 50 (1), 113. Medline , Google Scholar
- Brown, R. T., Daly, B. P., & Leong, F. T. ( 2009 ). Mentoring in research: A developmental approach . Professional Psychology: Research and Practice , 40 (3), 306. Google Scholar
- Brownell, S. E., Hekmat-Scafe, D. S., Singla, V., Seawell, P. C., Imam, J. F. C., Eddy, S. L. , … & Cyert, M. S. ( 2015 ). A high-enrollment course-based undergraduate research experience improves student conceptions of scientific thinking and ability to interpret data . CBE—Life Sciences Education , 14 (2), ar21. Link , Google Scholar
- Brownell, S. E., & Kloser, M. J. ( 2015 ). Toward a conceptual framework for measuring the effectiveness of course-based undergraduate research experiences in undergraduate biology . Studies in Higher Education , 40 (3), 525–544. Google Scholar
- Byars-Winston, A. M., Branchaw, J., Pfund, C., Leverett, P., & Newton, J. ( 2015 ). Culturally diverse undergraduate researchers’ academic outcomes and perceptions of their research mentoring relationships . International Journal of Science Education , 37 (15), 2533–2554. Medline , Google Scholar
- Cane, D. B., & Gotlib, I. H. ( 1985 ). Depression and the effects of positive and negative feedback on expectations, evaluations, and performance . Cognitive Therapy and Research , 9 (2), 145–160. Google Scholar
- Ceci, S. J., & Williams, W. M. ( 2010 ). Sex differences in math-intensive fields . Current Directions in Psychological Science , 19 (5), 275–279. Medline , Google Scholar
- Center for Collegiate Mental Health . ( 2017 ). Center for Collegiate Mental Health 2017 Annual Report . State College, PA: Penn State Universit. Google Scholar
- Charmaz, K. ( 2006 ). Constructing grounded theory: A practical guide through qualitative research . Thousand Oaks, CA: Sage. Google Scholar
- Chaudoir, S. R., & Fisher, J. D. ( 2010 ). The disclosure processes model: Understanding disclosure decision making and postdisclosure outcomes among people living with a concealable stigmatized identity . Psychological Bulletin , 136 (2), 236. Medline , Google Scholar
- Chaudoir, S. R., & Quinn, D. M. ( 2010 ). Revealing concealable stigmatized identities: The impact of disclosure motivations and positive first-disclosure experiences on fear of disclosure and well-being . Journal of Social Issues , 66 (3), 570–584. Medline , Google Scholar
- Clance, P. R., & Imes, S. A. ( 1978 ). The imposter phenomenon in high achieving women: Dynamics and therapeutic intervention . Psychotherapy: Theory, Research & Practice , 15 (3), 241. Google Scholar
- Cooper, K. M., Ashley, M., & Brownell, S. E. ( 2017 ). A bridge to active learning: A summer bridge program helps students maximize their active-learning experiences and the active-learning experiences of others . CBE—Life Sciences Education , 16 (1), ar17. Link , Google Scholar
- Cooper, K. M., Blattman, J. N., Hendrix, T., & Brownell, S. E. ( 2019a ). The impact of broadly relevant novel discoveries on student project ownership in a traditional lab course turned CURE . CBE—Life Sciences Education , 18 (4), ar57. Link , Google Scholar
- Cooper, K. M., & Brownell, S. E. ( 2016 ). Coming out in class: Challenges and benefits of active learning in a biology classroom for LGBTQIA students . CBE—Life Sciences Education , 15 (3), ar37. https://doi.org/10.1187/cbe.16-01-0074 Link , Google Scholar
- Cooper, K. M., Brownell, S. E., & Gormally, C. C. ( 2019b ). Coming out to the class: Identifying factors that influence college biology instructor decisions about whether to reveal their LGBQ identity in class . Journal of Women and Minorities in Science and Engineering , 25 (3). Google Scholar
- Cooper, K. M., Downing, V. R., & Brownell, S. E. ( 2018 ). The influence of active learning practices on student anxiety in large-enrollment college science classrooms . International Journal of STEM Education , 5 (1), 23. Medline , Google Scholar
- Cooper, K. M., Gin, L. E., Akeeh, B., Clark, C. E., Hunter, J. S., Roderick, T. B. , … & Brownell, S. E. ( 2019c ). Factors that predict life sciences student persistence in undergraduate research experiences . PLoS ONE , 14 (8). https://doi.org/10.1371/journal.pone.0220186 Google Scholar
- Cooper, K. M., Gin, L. E., & Brownell, S. E. ( 2019d ). Diagnosing differences in what introductory biology students in a fully online and an in-person biology degree program know and do regarding medical school admission . Advances in Physiology Education , 43 (2), 221–232. Medline , Google Scholar
- Cooper, K. M., Gin, L. E., & Brownell, S. E. ( In press ). Depression as a concealable stigmatized identity: What influences whether students conceal or reveal their depression in undergraduate research experiences? International Journal of STEM Education , ( in press ). Google Scholar
- Depression and Biopolar Support Alliance . ( 2019 ). Home page . Retrieved November 28, 2019, from www.dbsalliance.org Google Scholar
- Deroma, V. M., Leach, J. B., & Leverett, J. P. ( 2009 ). The relationship between depression and college academic performance . College Student Journal , 43 (2), 325–335. Google Scholar
- Dweck, C. S. ( 2008 ). Mindset: The new psychology of success . New York, NY: Random House Digital. Google Scholar
- Dyson, R., & Renk, K. ( 2006 ). Freshmen adaptation to university life: Depressive symptoms, stress, and coping . Journal of Clinical Psychology , 62 (10), 1231–1244. Medline , Google Scholar
- Eddy, S. L., Brownell, S. E., & Wenderoth, M. P. ( 2014 ). Gender gaps in achievement and participation in multiple introductory biology classrooms . CBE—Life Sciences Education , 13 (3), 478–492. https://doi.org/10.1187/cbe.13-10-0204 Link , Google Scholar
- Eisenberg, D., Gollust, S. E., Golberstein, E., & Hefner, J. L. ( 2007 ). Prevalence and correlates of depression, anxiety, and suicidality among university students . American Journal of Orthopsychiatry , 77 (4), 534–542. Medline , Google Scholar
- Elliott, R., Sahakian, B. J., Herrod, J. J., Robbins, T. W., & Paykel, E. S. ( 1997 ). Abnormal response to negative feedback in unipolar depression: Evidence for a diagnosis specific impairment . Journal of Neurology, Neurosurgery & Psychiatry , 63 (1), 74–82. Medline , Google Scholar
- Eshel, N., & Roiser, J. P. ( 2010 ). Reward and punishment processing in depression . Biological Psychiatry , 68 (2), 118–124. Medline , Google Scholar
- Estrada, M., Hernandez, P. R., & Schultz, P. W. ( 2018 ). A longitudinal study of how quality mentorship and research experience integrate underrepresented minorities into STEM careers . CBE—Life Sciences Education , 17 (1), ar9. Link , Google Scholar
- Evans, T. M., Bira, L., Gastelum, J. B., Weiss, L. T., & Vanderford, N. L. ( 2018 ). Evidence for a mental health crisis in graduate education . Nature Biotechnology , 36 (3), 282. Medline , Google Scholar
- Everson, H. T., Tobias, S., Hartman, H., & Gourgey, A. ( 1993 ). Test anxiety and the curriculum: The subject matters . Anxiety, Stress, and Coping , 6 (1), 1–8. Google Scholar
- Flaherty, C. ( 2018 ). New study says graduate students’ mental health is a “crisis.” Retrieved November 29, 2019, from www.insidehighered.com/news/2018/03/06/new-study-says-graduate-students-mental-health-crisis Google Scholar
- Forsythe, A., & Johnson, S. ( 2017 ). Thanks, but no-thanks for the feedback . Assessment & Evaluation in Higher Education , 42 (6), 850–859. Google Scholar
- Garlow, S. J., Rosenberg, J., Moore, J. D., Haas, A. P., Koestner, B., Hendin, H., & Nemeroff, C. B. ( 2008 ). Depression, desperation, and suicidal ideation in college students: Results from the American Foundation for Suicide Prevention College Screening Project at Emory University . Depression and Anxiety , 25 (6), 482–488. Medline , Google Scholar
- Gelso, C. J., & Lent, R. W. ( 2000 ). Scientific training and scholarly productivity: The person, the training environment, and their interaction . In Brown, S. D.Lent, R. W. (Eds.), Handbook of counseling psychology (pp. 109–139). Hoboken, NJ: John Wiley & Sons Inc. Google Scholar
- Gilbert, P., Baldwin, M. W., Irons, C., Baccus, J. R., & Palmer, M. ( 2006 ). Self-criticism and self-warmth: An imagery study exploring their relation to depression . Journal of Cognitive Psychotherapy , 20 (2), 183. Google Scholar
- Gilbert, P., McEwan, K., Bellew, R., Mills, A., & Gale, C. ( 2009 ). The dark side of competition: How competitive behaviour and striving to avoid inferiority are linked to depression, anxiety, stress and self-harm . Psychology and Psychotherapy: Theory, Research and Practice , 82 (2), 123–136. Medline , Google Scholar
- Gin, L. E., Rowland, A. A., Steinwand, B., Bruno, J., & Corwin, L. A. ( 2018 ). Students who fail to achieve predefined research goals may still experience many positive outcomes as a result of CURE participation . CBE—Life Sciences Education , 17 (4), ar57. Link , Google Scholar
- Glesne, C., & Peshkin, A. ( 1992 ). Becoming qualitative researchers: An introduction . London, England, UK: Longman. Google Scholar
- Grav, S., Hellzèn, O., Romild, U., & Stordal, E. ( 2012 ). Association between social support and depression in the general population: The HUNT study, a cross-sectional survey . Journal of Clinical Nursing , 21 (1–2), 111–120. Medline , Google Scholar
- Guest, G., Bunce, A., & Johnson, L. ( 2006 ). How many interviews are enough? An experiment with data saturation and variability . Field Methods , 18 (1), 59–82. Google Scholar
- Hancock, D. R. ( 2002 ). Influencing graduate students’ classroom achievement, homework habits and motivation to learn with verbal praise . Educational Research , 44 (1), 83–95. Google Scholar
- Hannah, D. R., & Lautsch, B. A. ( 2011 ). Counting in qualitative research: Why to conduct it, when to avoid it, and when to closet it . Journal of Management Inquiry , 20 (1), 14–22. Google Scholar
- Heatherton, T. F., & Wyland, C. L. ( 2003 ). Assessing self-esteem . In Lopez, S. J.Snyder, C. R. (Eds.), Positive psychological assessment: A handbook of models and measures (pp. 219–233). Washington, DC: American Psychological Association. https://doi.org/10.1037/10612-014 . Google Scholar
- Henderlong, J., & Lepper, M. R. ( 2002 ). The effects of praise on children’s intrinsic motivation: A review and synthesis . Psychological Bulletin , 128 (5), 774. Medline , Google Scholar
- Henry, M. A., Shorter, S., Charkoudian, L., Heemstra, J. M., & Corwin, L. A. ( 2019 ). FAIL is not a four-letter word: A theoretical framework for exploring undergraduate students’ approaches to academic challenge and responses to failure in STEM learning environments . CBE—Life Sciences Education , 18 (1), ar11. Link , Google Scholar
- Hernandez, P. R., Woodcock, A., Estrada, M., & Schultz, P. W. ( 2018 ). Undergraduate research experiences broaden diversity in the scientific workforce . BioScience , 68 (3), 204–211. Google Scholar
- Hish, A. J., Nagy, G. A., Fang, C. M., Kelley, L., Nicchitta, C. V., Dzirasa, K., & Rosenthal, M. Z. ( 2019 ). Applying the stress process model to stress–burnout and stress–depression relationships in biomedical doctoral students: A cross-sectional pilot study . CBE—Life Sciences Education , 18 (4), ar51. Link , Google Scholar
- Howell, E., & McFeeters, J. ( 2008 ). Children’s mental health care: Differences by race/ethnicity in urban/rural areas . Journal of Health Care for the Poor and Underserved , 19 (1), 237–247. Medline , Google Scholar
- Hysenbegasi, A., Hass, S. L., & Rowland, C. R. ( 2005 ). The impact of depression on the academic productivity of university students . Journal of Mental Health Policy and Economics , 8 (3), 145. Medline , Google Scholar
- Ibrahim, A. K., Kelly, S. J., Adams, C. E., & Glazebrook, C. ( 2013 ). A systematic review of studies of depression prevalence in university students . Journal of Psychiatric Research , 47 (3), 391–400. Medline , Google Scholar
- Intemann, K. ( 2009 ). Why diversity matters: Understanding and applying the diversity component of the National Science Foundation’s broader impacts criterion . Social Epistemology , 23 (3–4), 249–266. Google Scholar
- Ishiyama, J. ( 2002 ). Does early participation in undergraduate research benefit social science and humanities students? College Student Journal , 36 (3), 381–387. Google Scholar
- Jenkins, S. R., Belanger, A., Connally, M. L., Boals, A., & Durón, K. M. ( 2013 ). First-generation undergraduate students’ social support, depression, and life satisfaction . Journal of College Counseling , 16 (2), 129–142. Google Scholar
- Jobst, A., Sabass, L., Palagyi, A., Bauriedl-Schmidt, C., Mauer, M. C., Sarubin, N. , … & Zill, P. ( 2015 ). Effects of social exclusion on emotions and oxytocin and cortisol levels in patients with chronic depression . Journal of Psychiatric Research , 60 , 170–177. Medline , Google Scholar
- Jones, K. P., & King, E. B. ( 2014 ). Managing concealable stigmas at work: A review and multilevel model . Journal of Management , 40 (5), 1466–1494. Google Scholar
- Jones, M. T., Barlow, A. E., & Villarejo, M. ( 2010 ). Importance of undergraduate research for minority persistence and achievement in biology . Journal of Higher Education , 81 (1), 82–115. Google Scholar
- Jones, N. P., Papadakis, A. A., Hogan, C. M., & Strauman, T. J. ( 2009 ). Over and over again: Rumination, reflection, and promotion goal failure and their interactive effects on depressive symptoms . Behaviour Research and Therapy , 47 (3), 254–259. Medline , Google Scholar
- Judd, L. L., Paulus, M. J., Schettler, P. J., Akiskal, H. S., Endicott, J., Leon, A. C. , … & Keller, M. B. ( 2000 ). Does incomplete recovery from first lifetime major depressive episode herald a chronic course of illness? American Journal of Psychiatry , 157 (9), 1501–1504. Medline , Google Scholar
- Kahn, J. H., & Garrison, A. M. ( 2009 ). Emotional self-disclosure and emotional avoidance: Relations with symptoms of depression and anxiety . Journal of Counseling Psychology , 56 (4), 573. Google Scholar
- Kataoka, S. H., Zhang, L., & Wells, K. B. ( 2002 ). Unmet need for mental health care among US children: Variation by ethnicity and insurance status . American Journal of Psychiatry , 159 (9), 1548–1555. Medline , Google Scholar
- Kreger, D. W. ( 1995 ). Self-esteem, stress, and depression among graduate students . Psychological Reports , 76 (1), 345–346. Medline , Google Scholar
- Krumpal, I. ( 2013 ). Determinants of social desirability bias in sensitive surveys: A literature review . Quality & Quantity , 47 (4), 2025–2047. Google Scholar
- Landis, J. R., & Koch, G. G. ( 1977 ). An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers . Biometrics , 33 (2), 363–374. Medline , Google Scholar
- Laursen, S., Hunter, A.-B., Seymour, E., Thiry, H., & Melton, G. ( 2010 ). Undergraduate research in the sciences: Engaging students in real science . Hoboken, NJ: Wiley. Google Scholar
- Limeri, L. B., Asif, M. Z., Bridges, B. H., Esparza, D., Tuma, T. T., Sanders, D. , … & Maltese, A. V. ( 2019 ). “Where’s my mentor?” Characterizing negative mentoring experiences in undergraduate life science research . CBE—Life Sciences Education , 18 (4), ar61. Link , Google Scholar
- Link, B. G., & Phelan, J. C. ( 2001 ). Conceptualizing stigma . Annual Review of Sociology , 27 (1), 363–385. Google Scholar
- Luyten, P., Sabbe, B., Blatt, S. J., Meganck, S., Jansen, B., De Grave, C. , … & Corveleyn, J. ( 2007 ). Dependency and self-criticism: Relationship with major depressive disorder, severity of depression, and clinical presentation . Depression and Anxiety , 24 (8), 586–596. Medline , Google Scholar
- Mabrouk, P. A., & Peters, K. ( 2000 ). Student perspectives on undergraduate research (UR) experiences in chemistry and biology . CUR Quarterly , 21 (1), 25–33. Google Scholar
- Maxwell, J. A. ( 2010 ). Using numbers in qualitative research . Qualitative Inquiry , 16 (6), 475–482. Google Scholar
- Mongrain, M., & Blackburn, S. ( 2005 ). Cognitive vulnerability, lifetime risk, and the recurrence of major depression in graduate students . Cognitive Therapy and Research , 29 (6), 747–768. Google Scholar
- Nagy, G. A., Fang, C. M., Hish, A. J., Kelly, L., Nicchitta, C. V., Dzirasa, K., & Rosenthal, M. Z. ( 2019 ). Burnout and mental health problems in biomedical doctoral students . CBE—Life Sciences Education , 18 (2), ar27. Link , Google Scholar
- National Academies of Sciences, Engineering, and Medicine (NASEM) . ( 2017 ). Undergraduate research experiences for STEM students: Successes, challenges, and opportunities . Washington, DC: National Academies Press. https://doi.org/10.17226/24622 Google Scholar
- NASEM . ( 2019 ). The science of effective mentorship in STEMM . Washington, DC: National Academies Press. Retrieved November 29, 2019, from www.nap.edu/download/25568 Google Scholar
- Osborne, J., & Collins, S. ( 2001 ). Pupils’ views of the role and value of the science curriculum: A focus-group study . International Journal of Science Education , 23 (5), 441–467. https://doi.org/10.1080/09500690010006518 Google Scholar
- Porter, S. R., & Whitcomb, M. E. ( 2005 ). Non-response in student surveys: The role of demographics, engagement and personality . Research in Higher Education , 46 (2), 127–152. Google Scholar
- President’s Council of Advisors on Science and Technology . ( 2012 ). Engage to excel: Producing one million additional college graduates with degrees in science, Technology, Engineering, and mathematics . Washington, DC: U.S. Government Office of Science and Technology. Google Scholar
- Prunuske, A. J., Wilson, J., Walls, M., & Clarke, B. ( 2013 ). Experiences of mentors training underrepresented undergraduates in the research laboratory . CBE—Life Sciences Education , 12 (3), 403–409. Link , Google Scholar
- Quinn, D. M., & Earnshaw, V. A. ( 2011 ). Understanding concealable stigmatized identities: The role of identity in psychological, physical, and behavioral outcomes . Social Issues and Policy Review , 5 (1), 160–190. Google Scholar
- Rauckhorst, W. H., Czaja, J. A., & Baxter Magolda, M. ( 2001 ). Measuring the impact of the undergraduate research experience on student intellectual development . Snowbird, UT: Project Kaleidoscope Summer Institute. Google Scholar
- Saldaña, J. ( 2015 ). The coding manual for qualitative researchers . Thousand Oaks, CA: Sage. Google Scholar
- Santiago, C. D., Kaltman, S., & Miranda, J. ( 2013 ). Poverty and mental health: How do low-income adults and children fare in psychotherapy? Journal of Clinical Psychology , 69 (2), 115–126. Medline , Google Scholar
- Santini, Z. I., Koyanagi, A., Tyrovolas, S., Mason, C., & Haro, J. M. ( 2015 ). The association between social relationships and depression: A systematic review . Journal of Affective Disorders , 175 , 53–65. Medline , Google Scholar
- Schleider, J., & Weisz, J. ( 2018 ). A single-session growth mindset intervention for adolescent anxiety and depression: 9-month outcomes of a randomized trial . Journal of Child Psychology and Psychiatry , 59 (2), 160–170. Medline , Google Scholar
- Seymour, E., & Hewitt, N. M. ( 1997 ). Talking about leaving: Why undergraduates leave the sciences . Westview Press. Google Scholar
- Seymour, E., & Hunter, A.-B. ( 2019 ). Talking about leaving revisited . New York, NY: Springer. Google Scholar
- Seymour, E., Hunter, A.-B., Laursen, S. L., & DeAntoni, T. ( 2004 ). Establishing the benefits of research experiences for undergraduates in the sciences: First findings from a three-year study . Science Education , 88 (4), 493–534. Google Scholar
- Smith, D. T., Mouzon, D. M., & Elliott, M. ( 2018 ). Reviewing the assumptions about men’s mental health: An exploration of the gender binary . American Journal of Men’s Health , 12 (1), 78–89. Medline , Google Scholar
- Sorkness, C. A., Pfund, C., Ofili, E. O., Okuyemi, K. S., Vishwanatha, J. K., Zavala, M. E. , … & Deveci, A. ( 2017 ). A new approach to mentoring for research careers: The National Research Mentoring Network . BMC Proceedings , 11 , 22. Medline , Google Scholar
- Sowislo, J. F., & Orth, U. ( 2013 ). Does low self-esteem predict depression and anxiety? A meta-analysis of longitudinal studies . Psychological Bulletin , 139 (1), 213. Medline , Google Scholar
- Steger, M. F. ( 2013 ). Experiencing meaning in life: Optimal functioning at the nexus of well-being, psychopathology, and spirituality . In Wong, P. T. P. (Ed.), The human quest for meaning (pp. 211–230). England, UK: Routledge. Google Scholar
- Strenta, A. C., Elliott, R., Adair, R., Matier, M., & Scott, J. ( 1994 ). Choosing and leaving science in highly selective institutions . Research in Higher Education , 35 (5), 513–547. Google Scholar
- Text Depression Hotline . ( 2019 ). Crisis text line . Retrieved November 29, 2019, from www.crisistextline.org/depression Google Scholar
- Thiry, H., & Laursen, S. L. ( 2011 ). The role of student–advisor interactions in apprenticing undergraduate researchers into a scientific community of practice . Journal of Science Education and Technology , 20 (6), 771–784. Google Scholar
- Thompson, J. J., Conaway, E., & Dolan, E. L. ( 2016 ). Undergraduate students’ development of social, cultural, and human capital in a networked research experience . Cultural Studies of Science Education , 11 (4), 959–990. Google Scholar
- Trenor, J. M., Miller, M. K., & Gipson, K. G. ( 2011 ). Utilization of a think-aloud protocol to cognitively validate a survey instrument identifying social capital resources of engineering undergraduates . 118th American Society for Engineering Education Annual Conference and Exposition, Vancouver, BC, Canada . Google Scholar
- Turner, R. J., & Noh, S. ( 1988 ). Physical disability and depression: A longitudinal analysis . Journal of Health and Social Behavior , 29 (1), 23–37. Medline , Google Scholar
- Watson, D., & Friend, R. ( 1969 ). Measurement of social-evaluative anxiety . Journal of Consulting and Clinical Psychology , 33 (4), 448. Medline , Google Scholar
- Weeks, J. W., Heimberg, R. G., Fresco, D. M., Hart, T. A., Turk, C. L., Schneier, F. R., & Liebowitz, M. R. ( 2005 ). Empirical validation and psychometric evaluation of the Brief Fear of Negative Evaluation Scale in patients with social anxiety disorder . Psychological Assessment , 17 (2), 179. Medline , Google Scholar
- World Health Organization . ( 2018 ). Depression . Retrieved November 29, 2019, from www.who.int/news-room/fact-sheets/detail/depression Google Scholar
- Wyatt, T., & Oswalt, S. B. ( 2013 ). Comparing mental health issues among undergraduate and graduate students . American Journal of Health Education , 44 (2), 96–107. Google Scholar
- Sara E. Grineski ,
- Danielle X. Morales , and
- Timothy W. Collins
- Derek Braun, Monitoring Editor
- Tala Araghi ,
- Carly A. Busch , and
- Carly A. Busch ,
- Tasneem F. Mohammed ,
- Erika M. Nadile ,
- Madison L. Witt ,
- Cindy Vargas ,
- Missy Tran ,
- Joseph Gazing Wolf ,
- Danielle Brister , and
- Sehoya Cotner, Monitoring Editor
- Katelyn M. Cooper ,
- Sarah L. Eddy , and
- Coping behavior versus coping style: characterizing a measure of coping in undergraduate STEM contexts 14 February 2022 | International Journal of STEM Education, Vol. 9, No. 1
- Lisa A. Corwin ,
- Michael E. Ramsey ,
- Eric A. Vance ,
- Elizabeth Woolner ,
- Stevie Maiden ,
- Nina Gustafson and
- Joseph A. Harsh
- Erin Shortlidge, Monitoring Editor
- K. Supriya ,
- Katelyn M. Cooper , and
- Brian Sato, Monitoring Editor
- Logan E. Gin ,
- Danielle Pais ,
- Clark Coffman, Monitoring Editor
- Nicholas J. Wiesenthal , and
- Maryrose Weatherton and
- Elisabeth E. Schussler
- Erika Offerdahl, Monitoring Editor
- Eight Recommendations to Promote Effective Study Habits for Biology Students Enrolled in Online Courses Journal of Microbiology & Biology Education, Vol. 23, No. 1
- Fostering professional development through undergraduate research: supporting faculty mentors and student researchers 30 March 2022 | Mentoring & Tutoring: Partnership in Learning, Vol. 30, No. 2
- Jeffrey Maloy ,
- Monika B. Kwapisz , and
- Bryce E. Hughes
- Terrell Morton, Monitoring Editor
- Anxiety and depression among US college students engaging in undergraduate research during the COVID-19 pandemic 14 December 2021 | Journal of American College Health, Vol. 9
- Danielle Brister ,
- Sara E. Brownell ,
- Chade T. Claiborne ,
- Baylee A. Edwards ,
- Curtis Lunt ,
- Kobe M. Walker ,
- Tamiru D. Warkina ,
- Yi Zheng , and
- Rebecca Price, Monitoring Editor
- Dominant Learning Styles of Interior Design Students in Generation Z 26 July 2021 | Journal of Interior Design, Vol. 46, No. 4
- Linking Emotional Intelligence, Physical Activity and Aggression among Undergraduates 26 November 2021 | International Journal of Environmental Research and Public Health, Vol. 18, No. 23
- Advancing undergraduate synthetic biology education: insights from a Canadian iGEM student perspective Canadian Journal of Microbiology, Vol. 67, No. 10
- Frank A. Guerrero ,
- Sara E. Brownell , and
- Jennifer Momsen, Monitoring Editor
- Nicholas J. Wiesenthal ,
- Isabella Ferreira , and
- Grant Ean Gardner, Monitoring Editor
- Carolyn E. Clark ,
- Deanna B. Elliott ,
- Travis B. Roderick ,
- Rachel A. Scott ,
- Denisse Arellano ,
- Diana Ramirez ,
- Kimberly Velarde ,
- Allyson Aeschliman ,
- Sarah T. Avalle ,
- Jessica Berkheimer ,
- Rachel Campos ,
- Michael Gerbasi ,
- Sophia Hughes ,
- Julie A. Roberts ,
- Quinn M. White ,
- Ehren Wittekind ,
- Rachelle Spell, Monitoring Editor
- Christine Pfund ,
- Janet L. Branchaw ,
- Melissa McDaniels ,
- Angela Byars-Winston ,
- Steven P. Lee ,, and
- Bruce Birren
- Emma C. Goodwin ,
- Vladimir Anokhin ,
- MacKenzie J. Gray ,
- Daniel E. Zajic ,
- Jason E. Podrabsky , and
- Erin E. Shortlidge
- Depression as a concealable stigmatized identity: what influences whether students conceal or reveal their depression in undergraduate research experiences? 4 June 2020 | International Journal of STEM Education, Vol. 7, No. 1

Submitted: 4 November 2019 Revised: 24 February 2020 Accepted: 6 March 2020
© 2020 K. M. Cooper, L. E. Gin, et al. CBE—Life Sciences Education © 2020 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

IMAGES
VIDEO
COMMENTS
The most common symptoms of depression are feeling worthless, anxious, empty, irritated, hopeless, loss of internet in activities inability to enjoy activities that used to be the sources of pleasure in daily activities change in appetite, persistent difficulty in falling speech or staying a step difficulty in concentrating or making decisions.
To develop a case study of a person suffering from depression. Depression (major depressive disorder) is a common and serious medical illness that negatively affects how you feel the way you think and how you act. Fortunately, it is also treatable. Depression causes feelings of sadness and/or a loss of interest in activities you once enjoyed.
Case study case study of person with depression: a cognitive behavioural case work approach Priyanka Saikia1, Nilesh Maruti Gujar2*, Arif Ali3 ABSTRACT Individuals with depression often face problems in activities of daily living, work functioning and interpersonal relationships.
A 15-year-old Puerto Rican female The adolescent was previously diagnosed with major depressive disorder and treated intermittently with supportive psychotherapy and antidepressants. Her more recent episodes related to her parents' marital problems and her academic/social difficulties at school.
Persistent depressive disorder, anorexia and obsessive-compulsive disorder are each psychopathologic entities with suicidal risk. When they appear together it is a must that a multidisciplinary ...
Case 1: Read the following case study and answer the questions that follow: Sundar, a college-going 20-year-old male, has moved from his home town to live in a big city. He has continuous...
Case study questions to test your knowledge on Psychological Disorders NCERT class 12 cbse chapter 4, useful to assess your understanding of chapter 4 of cert. Skip to document. ... Case Studies on Disorders. ... Major Depression; No disorder. This is to be expected so soon after the loss of a loved one.
0:00 / 3:05 PSYCHOLOGY PROJECT- On DEPRESSION with Case study - CLASS 12 CBSE Sneh- Thegiftoflove 11.1K subscribers Subscribe 54K views 4 years ago To order projects on any topic and subject,...
CBSE Class 12 CBSE Class 12 Study Materials Psychology Depressive Disorder Depressive Disorder Depressive disorder or Depression is a mental illness that creates a chronic sense of sadness and a loss of interest, affecting your daily life. Table of Content Introduction What is meant by Major Depressive disorder? Symptoms of depressive disorders
Class 12 Psychology Case Study Question 1. Read the case given below and answer the questions by choosing the most appropriate option: This is a story of three students Ruby, Radhika and Shankar who were enrolled in an Undergraduate Psychology Program in a University. Ruby was the admission officer's dream.
Case study for Class 12th Hope it may help you, if you find the video helpful please like, share ... Hello everyone This is psychology case study on depression.
Case Study Details. Mike is a 20 year-old who reports to you that he feels depressed and is experiencing a significant amount of stress about school, noting that he'll "probably flunk out.". He spends much of his day in his dorm room playing video games and has a hard time identifying what, if anything, is enjoyable in a typical day.
Mood Disorders, Medical Disorders, and Substance Abuse: Major Depression and Suicide. Clinical Case Study: A 20-year-old college student has been coming to class late over the past month and is demonstrating poor academic performance. He looks disheveled and has decreased his social activities.
The staff at the Children, Youth & Family Consortium have created Children's Mental Health Case Studies.These online, interactive tools encourage practitioners, instructors, graduate students and community partners to collaborate together and explore how to respond effectively to children's mental health needs.
Case Study of Client Diagnosed with Major Depressive Disorder 2005 Dr. Janet Cahill Applied Psychology Program The purpose of this study was to determine the best practice for a client diagnosed ... Secondly, she stated that depression affected her socially because it was keeping her from participating in family events. She reported that she ...
Jean Piaget's observations of his own children are good examples of how an intrinsic cast study can contribute to the development of a psychological theory. The three main case study types often used are intrinsic, instrumental, and collective. Intrinsic case studies are useful for learning about unique cases.
Patient Case Presentation. Figure 1. Blue and silver stethoscope (Pixabay, N.D.) Ms. S.W. is a 48-year-old white female who presented to an outpatient community mental health agency for evaluation of depressive symptoms. Over the past eight weeks she has experienced sad mood every day, which she describes as a feeling of hopelessness and emptiness.
446 n engl j med 385;5 nejm.org July 29, 2021 The new england journal of medicine in adolescents, including annual universal screen - ing for depression in children 12 to 18 years of age with the ...
METHODS. This study was done with an approved Arizona State University Institutional Review Board protocol #7247. In Fall 2018, we surveyed undergraduate researchers majoring in the life sciences across 25 research-intensive (R1) public institutions across the United States (specific details about the recruitment of the students who completed the survey can be found in Cooper et al.).
Depression is a whole body illness, meaning it affects your body, mood and thoughts. It can be a very serious illness which affects the way you eat and sleep, the way you feel about yourself and the way you think about things. It is more than just a passing mood, and is very different from the usual feelings of sadness and feeling fed up.
78 Comments ; Poll Presentation of Case . Diana L. Stern (Psychiatry): A 65-year-old woman was admitted to this hospital because of depression, recurrent falls, and difficulty caring for herself.
THIS IS AN ART INTEGRATED PROJECT DONE BY A 12TH STD STUDENT.He has first introduced depression and then presented a celebrity case study on the same..
Depression is a mood disorder that affects roughly 16% of Americans at some point during their lifetime. It can result in low mood, feelings of guilt, sleeping issues, as well as lead to issues like arthralgia, chronic back pain, and bilateral neurologic symptoms. Physical Therapy can play a role in treating the musculoskeletal dysfunctions while simultaneously structuring treatment sessions ...