Qualitative Research Methods Study Notes

Introduction to Qualitative Research Methods

Dr. Katherine Ashbullby

  • Overview of qualitative research methods and their significance in psychology.

Session Plan

  • Quick Activity: Explore expectations of qualitative research.

  • Key Differences: Compare qualitative and quantitative approaches.

  • Focus: Thematic analysis and its processes.

  • Take Home Message: Qualitative methods can be complex and nuanced.

Activity 1: Exploring Perceptions of Qualitative Research

  • Participants asked to define what qualitative research means to them.

    • Set a timer for 3 minutes to jot down thoughts.

    • Emphasis on subjective perceptions; no right or wrong answers.

Qualitative Research Definition Task

  • Activity demonstrates qualitative research by asking open-ended questions, allowing diverse responses without pre-set answers.

  • Method to analyze responses could involve systematic recording and identifying themes.

Quantitative Comparison

  • Possible quantitative equivalent:

    • Closed questions with fixed options (e.g., True/False questions).

    • Analyze data statistically to calculate percentages of responses.

  • Differences in Output:

    • Qualitative data can reveal richer insights, while quantitative may produce broader but less detailed findings.

Implications of Each Approach

  • Qualitative Research:

    • Helps understand perceptions and uncover unexpected insights.

    • Rich data despite potential time-consuming analysis, limited generalizability.

  • Quantitative Research:

    • Quicker assessment of larger groups; able to compare findings across variables like age or gender.

    • Offers a more rigid structure potentially limiting the diversity of responses.

Characteristics of Research Approaches

Quantitative Research

  • Utilizes numbers as data, analyzed statistically.

  • Methods include:

    • Surveys, questionnaires, observations, experiments.

  • Goals:

    • Test relationships (experimental) or describe relationships (correlational).

    • Aim for findings to be generalizable to populations.

  • Focus on researcher-defined variables.

Qualitative Research

  • Uses words as data; aims for a deep understanding of participants' meanings and experiences.

  • Focus on personal, social, and cultural contexts.

  • Provides rich and detailed data, can be both exploratory and theoretical.

Types of Qualitative Data

  • Can be gathered explicitly (e.g., interviews, focus groups) or exist independently (e.g., diaries).

  • Can be structured or unstructured.

  • Reflexivity: Importance of the researcher’s role in the data generation process.

Research Questions and Theory in Qualitative Research

  • Importance of developing research questions akin to quantitative research.

  • Context and units of analysis are crucial during data analysis.

  • Theoretical frameworks can inform data conduct, analysis, and post-analysis interpretation.

Example Methods of Data Collection in Qualitative Research

  • Interviews:

    • Unstructured, semi-structured, structured.

  • Other methods include:

    • Open questions in questionnaires, focus groups, online forums, diaries, texts.

Areas of Psychology Using Qualitative Research

  • Clinical Psychology

  • Social Psychology

  • Health Psychology

  • Developmental Psychology

  • Environmental Psychology

  • Cognitive Psychology

  • Animal Behavior

Research Paradigms in Psychology

Positivism in Quantitative Research

  • Positivist view: Knowledge is derived from objective truth via scientific methods.

  • Deductive approach: Research questions stem from pre-existing theories, aiming to test them through data.

Qualitative Paradigms

  • Qualitative approaches emphasize subjective realities and interpretive understanding of participants' experiences.

    • Rejects strict adherence to quantitative methodologies.

    • Comparatively encompasses feminist, poststructuralist, and phenomenological approaches.

Inductive Approach in Qualitative Research

  • Bottom-up approach: Collecting data to develop theory, emphasizing the understanding of human meaning-making processes.

Phases of Thematic Analysis

Braun & Clarke’s Framework

  1. Familiarization: Engage thoroughly with data, including transcription and initial readings.

  2. Generating Initial Codes: Systematic coding of interesting features across the whole dataset.

  3. Generating Themes: Group different codes into potential overarching themes.

  4. Reviewing Themes: Validate whether themes hold up by checking against the data.

  5. Defining and Naming Themes: Articulate the essence of each theme and its connections within the research.

  6. Producing the Report: Ensure the narrative of the findings is clear and compelling, providing evidence for themes.

Reflexivity in Analysis

  • Keeping a record of notes and insights during the research process, staying close to participant perspectives.

Example: Interview Transcript Analysis

  • Demonstration of coding with participant responses on the impact of tutors on student well-being during transition to university.

What is a Theme?

  • Themes capture significant patterns related to the research question.

  • Codes serve as more specific labels pointing to elements within the data.

Conclusions

  • Emphasis on how qualitative research can yield transformative insights, particularly through supportive mentor relationships.

  • The strength of qualitative analysis lies in its ability to capture depth and nuance in participant experiences, addressing complex human issues within psychology.