Case Studies (College Board AP® Psychology): Study Guide

Raj Bonsor

Written by: Raj Bonsor

Reviewed by: Claire Neeson

Updated on

Case studies

  • A case study is a detailed, in-depth investigation of an individual or small group

  • Case studies typically focus on individuals who have undergone a rare or unique experience, or who present with an unusual condition, e.g.

    • A patient who had a hemispherectomy to treat severe epilepsy

    • An individual presenting with dissociative identity disorder

    • A person who suffered significant brain damage following an accident

  • Case studies are a non-experimental methodology as there is no manipulation of an IV

Data collection in case studies

  • Case studies commonly use multiple methods to collect data, which means they can generate both qualitative and quantitative data:

    • Qualitative data is collected via interviews, observations, and open-ended questions

      • This captures the subjective, individual experience of the participant in rich detail

    • Quantitative data is collected via memory tests, IQ tests, neuroimaging, and closed questions on questionnaires

      • This produces numerical scores that can be analyzed statistically

  • When a case study uses more than one method of data collection, this is known as triangulation:

    • Triangulation of method

      • Using more than one data collection method in the same study (e.g. interviews plus observations plus memory tests)

    • Triangulation of data

      • Generating more than one type of data in the same study (e.g. both qualitative and quantitative data)

    • Triangulation of research

      • Using more than one researcher to collect or analyze data in the same study

  • Triangulation strengthens the validity of findings by cross-referencing data from multiple sources

    • If different methods produce consistent conclusions, confidence in those conclusions is increased

Longitudinal design in case studies

  • Most case studies are longitudinal

    • This is where the participant's experience, behavior, or condition is tracked and measured over an extended period of time

    • A case study may take weeks, months, or even years to complete

  • Longitudinal design is a strength because it allows researchers to observe changes and developments in the participant over time, producing a richer and more complete picture of their experience

  • However, it also increases the risk that the researcher becomes too closely involved with the participant over time, which can compromise objectivity and introduce bias

Example: the case of H.M.

  • H.M. is one of the most significant case studies in psychology

    • He underwent surgery to remove his hippocampus as a treatment for severe epilepsy, which resulted in a profound inability to form new long-term memories

  • Qualitative data was collected via interviews and observations of H.M. both at home and in clinical settings

  • Quantitative data was collected via memory tests, IQ tests, and neuroimaging of his brain

  • The case study was longitudinal — H.M. was studied closely for decades

  • By studying H.M. in such depth over time, researchers were able to conclude that the hippocampus plays an essential role in the formation of new long-term memories

  • This illustrates how case studies can generate insights into typical human functioning by studying individuals with atypical conditions

Evaluation of case studies

Strengths

  • Case studies provide rich, detailed, in-depth data that is high in ecological validity

    • Because data is collected in real-world contexts using multiple methods, the findings reflect the genuine complexity of the participant's experience

  • Studying individuals with rare or unusual conditions allows researchers to draw conclusions about typical human functioning that would be impossible to investigate experimentally

    • E.g. the case of H.M. revealed the essential role of the hippocampus in memory formation

  • Triangulation strengthens the validity of findings

    • Using multiple methods and data types allows researchers to cross-reference conclusions and increases confidence in the accuracy of the results

Limitations

  • The findings from a case study represent only the individual or small group being studied

    • As the sample is so small and often atypical, the findings cannot be generalized to wider populations

    • This limits the external validity of the research

  • The researcher may lose objectivity due to the close and often extended relationship with the participant

    • Particularly in longitudinal case studies, the researcher may begin to identify with the participant

    • This introduces bias into their interpretation and reporting of the findings, reducing validity

  • Self-report bias and social desirability bias are inherent limitations when interviews or questionnaires are used as data collection tools in case studies

    • Participants may give inaccurate accounts or respond in socially desirable ways

    • This reduces the validity of the findings

Examiner Tips and Tricks

In the exam, if you are given a research scenario involving a case study, you need to:

  • Identify it as a non-experimental methodology and justify this using features of the study

    • E.g. "this is a case study because it is a detailed investigation of a single individual and there is no manipulation of an IV"

  • Identify what types of data are being collected

    • Remember that case studies can generate both qualitative and quantitative data

  • Evaluate the findings in terms of validity and generalizability

    • The central evaluative tension in case study research is the trade-off between the depth and richness of the data on one hand, and the inability to generalize findings to wider populations on the other

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Raj Bonsor

Author: Raj Bonsor

Expertise: Psychology & Sociology Content Creator

Raj joined Save My Exams in 2024 as a Senior Content Creator for Psychology & Sociology. Prior to this, she spent fifteen years in the classroom, teaching hundreds of GCSE and A Level students. She has experience as Subject Leader for Psychology and Sociology, and her favourite topics to teach are research methods (especially inferential statistics!) and attachment. She has also successfully taught a number of Level 3 subjects, including criminology, health & social care, and citizenship.

Claire Neeson

Reviewer: Claire Neeson

Expertise: Psychology Content Creator

Claire has been teaching for 34 years, in the UK and overseas. She has taught GCSE, A-level and IB Psychology which has been a lot of fun and extremely exhausting! Claire is now a freelance Psychology teacher and content creator, producing textbooks, revision notes and (hopefully) exciting and interactive teaching materials for use in the classroom and for exam prep. Her passion (apart from Psychology of course) is roller skating and when she is not working (or watching 'Coronation Street') she can be found busting some impressive moves on her local roller rink.