Case Studies and Using Qualitative Data (Edexcel A-Level Psychology): Revision Notes

Case Studies and Using Qualitative Data

Introduction to case studies in cognitive psychology

Research involving brain-damaged patients through case studies has provided essential insights into cognitive psychology. These studies allow researchers to investigate how brain injury affects cognitive functioning by examining individual cases in detail. Sometimes, cognitive functions such as memory can be better understood through their absence, as seen in brain-damaged patients.

Case studies represent a research method that can gather both qualitative and quantitative data, making them particularly valuable for understanding complex cognitive processes.

Henry Molaison (HM) case study

One of the most influential case studies in cognitive psychology is that of Henry Molaison, who suffered brain injury as a result of surgical intervention to treat epilepsy.

Background and participants

Henry Molaison, known to psychology students as 'HM', was a 27-year-old man living in Hartford, Connecticut. He had experienced epileptic seizures for many years, which severely impacted his quality of life.

Aim

The surgical procedure aimed to relieve Henry from seizures caused by epilepsy by removing the brain structure believed to be causing them.

Procedure

In August 1953, neurosurgeon William Scoville performed an operation on Henry, removing a brain structure within the temporal lobe called the hippocampus. The temporal lobe is an area of the brain situated below the ear, and the hippocampus is a structure responsible for learning, emotion and memory.

While the procedure successfully reduced Henry's seizures, it resulted in severe memory loss. Following the operation, Henry was referred to two neuropsychologists, Wilder Penfield and Brenda Milner, who assessed the extent of his amnesia. The hippocampus was known to be associated with consolidating memories, so removing this structure had devastating and irreversible consequences.

Findings

Henry was assessed as having both anterograde amnesia and retrograde amnesia:

Anterograde amnesia refers to the loss of ability to make new memories, whilst memories before the event remain relatively intact. Henry's anterograde amnesia resulted in an inability to form any new memories after the operation. He could not store memories for new people, faces, events or information. Despite being able to learn new skills, he had no memory of being able to learn them.

Retrograde amnesia refers to the loss of ability to recall events prior to the injury. Henry's retrograde amnesia meant that he lost the ability to retrieve memories from 19 months to 11 years prior to the operation. At the time of his surgery, he was 27 years old, so this meant he could only remember partial events after the age of 16 and virtually no events after the age of 25.

Henry's retrograde amnesia may not have been entirely due to the surgery, but is likely to have been affected by epilepsy medication and the frequency of his seizures prior to the operation.

Throughout his life, Henry was interviewed many times, and this qualitative information provided researchers with an understanding of which cognitive functions remained intact and which were impaired. Penfield and Milner realised that Henry was an ideal case for study because his injury was specifically localised and his personality and intelligence were virtually intact.

Following his death, Henry's brain was donated to psychological research. It was carefully sliced into over 2000 segments to map the human brain at the Brain Observatory in San Diego.

Evaluation: Strengths

• Rich, detailed information: The case study approach provided detailed qualitative accounts of Henry's experiences, feelings and beliefs, offering insights that quantitative methods alone could not capture.

• Localised brain damage: Because Henry's injury was specifically localised to the hippocampus, researchers could establish a clear link between this brain structure and memory function.

• Preserved cognitive functions: Henry's personality and intelligence remained intact, allowing researchers to isolate memory impairments from other cognitive changes.

• Longitudinal data: Henry was studied throughout his life, providing valuable long-term data about the persistence and nature of his memory deficits.

• Real-world application: The findings have contributed to understanding of memory processes and have informed clinical practice in treating patients with similar conditions.

Evaluation: Weaknesses

• Lack of generalisability: As an idiographic study focusing on one individual, the findings are specific to Henry and cannot be generalised to all people or all cases of hippocampal damage.

• Confounding variables: Henry's epilepsy medication and the frequency of his seizures prior to surgery may have contributed to his retrograde amnesia, making it difficult to isolate the effects of the surgery alone.

• Ethical concerns: Whilst the surgery was intended to help Henry, the severe memory loss raised questions about informed consent and the risks of experimental procedures.

• Limited control: Unlike experimental research, case studies do not allow researchers to control variables or establish clear cause-and-effect relationships.

• Subjectivity: Interpretations of qualitative data from interviews with Henry may have been influenced by researcher bias.

Understanding qualitative data

What is qualitative data?

While quantitative data uses numerical information and statistics, qualitative data presents descriptions of findings in prose form. In cognitive psychology, memory research is often reported as quantitative data, but research using case studies of brain-damaged patients is often qualitative in nature. This involves describing what functioning is intact or lost as a result of amnesia and gaining an understanding of the patient's subjective experiences.

Qualitative data provides detailed accounts of a person's experiences, feelings and beliefs. Some researchers argue that this captures the essence of psychology, whilst others contend that it comes at the expense of objectivity, as qualitative data requires interpretation, which can be biased.

Characteristics of qualitative research

Qualitative research differs from quantitative research in several important ways:

• Non-mechanistic approach: Rather than following the hypothetico-deductive model (which proposes a hypothesis and then tests it), qualitative research is an inductive process. The research question is proposed and the answer emerges from careful decoding of the information gathered.

• Flexible methodology: Information can be gathered using various methods, such as unstructured or semi-structured interviews, questionnaires with open-ended question types, group discussions, speech analysis and literature reviews.

• Emergent themes: The non-numerical information gathered is carefully transcribed and notes are taken on emerging themes or ideas that run throughout the text.

• Idiographic nature: Qualitative analysis is idiographic, meaning it does not claim any general rules that apply to other people, but only that the results are specific and unique to the individual involved. Although some research suggests that emergent themes may be general to others, qualitative research is often based on small sample sizes and built up into a case study.

• Understanding subjective experience: Common to all qualitative research is the way it is used to understand how individuals make sense of their own experiences. Qualitative research aims to understand how people perceive their world and make sense of it, resulting in rich descriptions based on what people disclose about themselves, the connections they make between events and the meanings they attribute to them, and how they feel.

Types of qualitative research methods

Several distinct approaches to qualitative research exist:

• Content analysis: Although some dispute this method as being truly qualitative, it is included in most introductory qualitative material.

• Discourse analysis: Examines how language is used in communication and what meanings are constructed through discourse.

• Grounded theory: A systematic methodology that involves constructing theory through the analysis of data.

• Interpretive phenomenological analysis: Explores how individuals make sense of their personal and social world, focusing on the meanings particular experiences hold for participants.

Conducting qualitative research

Data collection process

Qualitative research follows a particular approach to gathering and analysing information:

1. Data gathering: Researchers collect information through methods such as unstructured or semi-structured interviews, observations, questionnaires with open-ended questions, group discussions, or speech analysis. The non-numerical information gathered focuses on participants' experiences, beliefs and feelings.

2. Transcription: Once qualitative data has been gathered, transcriptions are made of the discourse and the researcher immerses themselves in the text.

3. Noting emerging themes: The researcher reflects on the feelings, beliefs and meanings given to experiences by the participants. They then check that the notes reflect the content of the transcript.

4. Theme development: From these notes, the researcher develops emerging themes from the transcript. These themes are presented as conclusions with extracts from the transcript to support the interpretation given to them.

Analysis characteristics

Qualitative research is defined by the nature of the investigation and the choices made by the researcher along the way. It is a process of making meaning from responses given by participants, and as such is open to individual interpretation of the researcher. As a researcher establishes the themes that emerge from the discourse, they apply meaning to its content and reach subjective conclusions.

This does not mean that the emergent themes found are invalid, but it is up to the researcher to explain and justify the emerging conclusions using evidence in the discourse. There is no single type of qualitative research, and no single way of conducting qualitative analysis. However, different approaches generally follow a similar format.

Evaluation of qualitative analysis

Strengths

• Rich descriptions: Qualitative analysis gathers detailed descriptions based on meaning, which can often be missed when using quantitative methods. Qualitative data provides depth and context that numbers cannot capture.

• Understanding subjective experience: It is a process of understanding the information, synthesising and theorising about why the themes exist. This is particularly valuable when trying to understand important issues in health and clinical psychology, such as how patients experience palliative care or what caregivers believe could help them as carers for those with long-term illness.

• Accessing difficult topics: These significant questions could not be addressed by simply administering a questionnaire, which would be unable to access people's deeply held beliefs and feelings.

• Flexibility: The methodology is adaptable and can be tailored to the specific research context and participants involved.

Weaknesses

• Time-consuming: Qualitative analysis is difficult to conduct and transcription takes substantial time. The process of immersing oneself in the data, identifying themes, and interpreting meaning requires considerable effort.

• Lack of standardisation: It does not follow any particular standardised format and has been criticised for being unscientific and highly subjective.

• Descriptive rather than explanatory: Many researchers argue that it is largely a descriptive rather than explanatory method. However, qualitative research goes beyond merely describing discourse; it involves understanding the information and theorising about why the themes exist.

• Limited generalisability: Because qualitative research is often based on small sample sizes and focuses on individual experiences, findings cannot easily be generalised to larger populations.

• Subjectivity and bias: The interpretation of qualitative data is inherently subjective and can be influenced by the researcher's own perspectives, beliefs and expectations.

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