Qualitative Research Focus: In-depth exploration of participants’ perspectives and experiences.
Research Process: Similar for quantitative and qualitative but differs in research questions.
Methodologies: Various qualitative methodologies necessitate distinct data collection and data analysis methods.
Inductive Approaches:
Bottom-up methods where meanings arise directly from data.
Deductive Approaches:
Top-down methods utilizing pre-existing theories to inform data exploration, confirming or disconfirming hypotheses.
Thick Description:
Defined by Tracy (2020) as providing deep contextual understanding of behaviors, requiring immersion, time, and interpretation.
Definition: A major qualitative research approach pioneered by Glaser and Strauss in the 1960s to validate qualitative methods.
Characteristics:
Emphasis on objectivity and a positivist approach.
Systematic bottom-up analysis to generate theories from data.
Various types of grounded theory exist, differing in epistemological viewpoints.
Phases of Analysis:
Thematic analysis consists of phases, not linear stages; involves iterative engagement with the data.
Main Phases:
Familiarization
Initial Theme Generation
Coding
Developing and Reviewing Themes
Defining Themes
Writing the Report
Data Source: Archival data and interviews with 22 ex-evacuees from the Wartime Evacuation project.
Methodology: Narrative approach highlighting experience construction through stories, influenced by context.
Familiarization: Transcription, reading, and exploratory note-taking.
Coding: Line-by-line encoding capturing meanings of raw data.
Theme Generation: Clustering similar codes, reviewing, defining, and revising themes.
Creative Engagement: The researcher must be flexible and engage deeply through the process.
Sibling Dynamics During Evacuation:
Siblings play significant roles, with varied attachments and responsibilities.
Lack of recognition in historical contexts about the importance of sibling relationships.
Emotional and caregiving aspects often fell on older siblings.
Manual Approaches: Utilize colored pens and manual coding processes to generate themes.
Computer-Aided Approaches:
Use of software like NVivo and ATLAS.ti for organizing and managing data efficiently.
Benefits include ease of sorting, coding, and organizing themes without analyzing data independently.
Differentiating Coding and Claim Making:
Coding lays groundwork for identifying patterns.
Interpretation and claim-making require active engagement through writing and creative processes.
Creative Analysis:
Analysis involves revisiting data and recognizing significant pathways.
Structure of Report:
Introduction, Method, Data Collection, Analysis, Findings, and Discussion.
Each theme should be introduced and presented with rich data extracts.
Rigor: Establish a systematic data analytic process allowing for a clear data trail.
Credibility: Findings should convincingly illuminate the data with supportive extracts.
Member Reflection: Engaging participants in discussions about findings for additional insights, although not required.
Difficulty of Research Types: Discuss preconceptions about the difficulty of conducting qualitative vs. quantitative research.
Tracy, S.J. (2020) Qualitative Research Methods. Wiley Blackwell.
Terry, G. & Hayfield, N. (2021). Essentials of Thematic Analysis. American Psychological Association.
Email: Lisa.savilleyoung@murdoch.edu.au
Note: "Ngala kwop biddi" - Building a brighter future, together.