QUALITATIVE RESEARCH ADVANCED STUDY COMPONENTS

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QUALITATIVE RESEARCH ADVANCED STUDY COMPONENTS da Mind Map: QUALITATIVE RESEARCH ADVANCED STUDY COMPONENTS

1. GOOD QUALITATIVE WRITING & ETHICS (How to ensure?)

1.1. Discussing Researcher's Influence in Chapter 4 (Background, beliefs and biases, interest, philosophical paradigm)

1.2. Crisis of representation

1.3. ETHICAL POINTS

1.3.1. Five focal points

1.3.1.1. Informed consent

1.3.1.2. Privacy

1.3.1.3. Do no harm

1.3.1.4. Exploitation

1.3.1.5. Consequences for future research

1.3.2. Ethical boards

1.3.3. Fraud

2. DESIGN (What are the qualitative designs? In COVID times what are the best? -- and examples) ---- Group using CODING & INTERPRETATION or INTERPRETIVE or SEQUENTIAL (Gathered then analyzed) or DEDUCTIVE & INDUCTIVE

2.1. Survey

2.2. Content Analysis

2.3. Narrative Research

2.4. Grounded Theory

2.5. Biography

2.6. Textual Analysis

2.7. Ethonography (and Netnography)

2.8. Grounded Theory

2.9. Action Research

2.10. Focus Groups/Focus Group Discussion

2.11. Key Informant Interview

2.12. Oral History

2.13. Holistic Research

2.14. Community Discussion Forums

2.15. Reflective Journal Log

2.16. Discourse analysis

2.17. Conversation Analysis

2.18. Analytic Induction

2.19. Cultural domain analysis

2.20. Framework analysis

2.21. Hermeneutics

2.22. Property space analysis

2.23. Ethnomethodology

2.24. Metaphor analysis

2.25. Schema Analysis

2.26. Qualitative Comparative Analysis (QCA)

2.27. Semiotics

2.28. Phenomenography

3. PRE-REQUISITES (The Beauty of Qualitative Research)

3.1. Philosophy of Qualitative Resaerch

3.1.1. Hermeneutics

3.1.2. Phenomenology

3.1.3. Pragmatism

3.2. Ontology & Epistemology of Qualitative Research

3.3. Purposes

3.4. Usual formats (and why is it structured that way compared to quantitative)

4. DATA COLLECTION

4.1. Methods

4.1.1. Participant Observation

4.1.2. Field notes

4.1.2.1. Organization

4.1.3. conducting interviews

4.1.3.1. Visions

4.1.3.2. Typologies

4.1.3.3. Interviewing behavior

4.1.3.4. Probing tactics

4.1.4. Gathering documents/records

4.2. Sampling

4.2.1. Techniques

4.2.2. Selecting cases

4.2.2.1. Theoretical Saturation

4.3. Criteria for Research Quality

4.3.1. Validity (these are more for quantitative, so do they apply in qualitative?)

4.3.1.1. Measurement validity

4.3.1.2. Internal validity

4.3.1.3. External Validity

4.3.1.4. Ecological Validity

4.3.2. Reliability (these are more for quantitative, so do they apply in qualitative?)

4.3.2.1. Stability

4.3.2.2. Internal reliability

4.3.2.3. Inter coder reliability

4.3.3. Replicability (these are more for quantitative, so do they apply in qualitative?)

4.3.4. Mason (1996) - a qualitative suggestion

4.3.4.1. Rigour

4.3.4.2. Quality

4.3.4.3. Wider potential

4.3.5. LeCompte en Goetz (1982) - a qualitative suggestion

4.3.5.1. External reliability = replicability

4.3.5.2. Internal reliability (inter "observer" reliability)

4.3.5.3. Internal validity (match between data & theory)

4.3.5.4. External validity (generalizability)

4.3.6. Gura & Lincoln frameworks

4.3.6.1. Trustworthiness (1981)

4.3.6.1.1. Credibility

4.3.6.1.2. Transferability

4.3.6.1.3. Dependability

4.3.6.1.4. Confirmability

4.3.6.2. Authenticity (1989)

4.3.6.2.1. Fairness

4.3.6.2.2. Ontological authenticity

4.3.6.2.3. Educative authenticity

4.3.6.2.4. Catalytic authenticity

4.3.6.2.5. Tactical authenticity

4.3.7. Midway position (Hammersley, 1992)

4.3.8. Good practices

5. DATA ANALYSIS and CONSIDERATIONS

5.1. INDUCTIVE APPROACHES

5.1.1. Analytic Induction

5.1.2. Grounded Theory

5.2. DEDUCTIVE APPROACHES

5.2.1. Code & Retrieve (especially for content analysis) ---- HOW TO THINK ABOUT THEMES

5.2.1.1. Conventianal Content Analysis

5.2.1.2. Directed Content Analyis

5.2.1.3. Summative Content Analysis

5.2.2. PROCESS OF CODING

5.2.2.1. Coding frame (or scheme)

5.2.2.2. Definition of codes

5.2.2.3. Coding/interpretation rules

5.2.2.4. Instructions for coders!!!

5.2.2.5. Creating a matrix!!!

5.2.3. Manual & Electronic Coding

5.2.4. FRAMEWORK ANALYSIS