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Flowchart

Research methods

Blake dorant English

Then a guide to Research Methods and Analysis: Epistemology, Symbolic Interactionism, Phenomenology, and Data Analysis

Flowchart: Research Methods and Analysis

Flowchart content

  1. Epistemology

  2. Social constructionism

    - Meaning created between members of society

    - World shaped by how we look at it

  3. Theoretical Framework

  4. Symbolic Interactionism

    - Meaning relies on context

    - What does it mean to us

    - What does it mean to others

  5. Hermeneutics

    - Like written Chinese whispers

    - Each person tells it different

    - Each person believes its true

  6. Methodology

    - Plan for organising tools we use

  7. (Descriptive) Phenomenology

    - The world is made up of objects we can describe

    - Ask participants to describe their experiences

  8. Phenomenology

    - Understanding human experience​​​​​​

  9. Interpretive phenomenology

    - We always influence the process (cannot bracket out)

    - We interpret everything differently

    - Double hermeneutic: we interpret, interpretations

    - What meaning do participants give to experiences

  10. Data Sources

  11. Non-reactive: Any expression of human experience or meaning (anything!)

    Interactive: Most commonly; focus groups and interviews

  12. Purposive Sampling

    - Homogenous (little variation in demographics)

    - Even 1 is enough, though 10-15 is ideal.

    - Never experience saturation

  13. - Do not bracket ourselves out

    - Use journals and note taking to understand influencing factors

    - Triangulation: check interpretations against journal

  14. Sample Size

  15. Reflexivity

  16. Data Analysis

    - How we analyse the results

  17. Thematic Analysis

    - Immersion in the data

    - Find overarching themes common through research

    - Themes summarise main findings and what was said in interview

  18. Interpretive Phenomenology Analysis

    - Immersion in the data

    - Find overarching themes common through research

    - Themes summarise main findings and what was said in interview

  19. Analysis Model

  20. TA/IPA

    1) Read transcripts (takes long time)

    2) Identify you biases and record them (during step 1)

    3) Underline significant concepts, sentences and statements

    4) Write a summary of the content in each section (your analysis of what they said)

    5) Begin reducing the data (coding; similarities) (categorise the codes) (categories into themes (4-5 with 3-4 sub-themes)

    6) Slot significant statements under codes

    7) group common codes together

    8) Write a summary statement

  21. Structured Interviewing

    - each interview is presented with exactly the same questions in the same orde

  22. Sampling

    - finding participants: Snowballing, flyers, newspapers etc

    - Vulnerable populations: minorities etc

    - Inducements: rewards, tea and cake

    - Building rapport important as you can get better answers

  23. Grounded Theory

    - Good when there is not a great understanding in the area

    - Test first, theorise later

    - Data driven appraoch

    - Bottom up

    - Can bracket

    - Should journal

    - Theory of human behaviour

    - Analyse data while collecting

  24. Discursive Psychology

    - Measuring attitudes toward something

    - studies language in use and words we use to describe things

    - words mean different things and chance through time, place and situation

    - Way of examining people in their context

  25. Ethnography

    - Cultural description, participant observation

    - Ethical concerns (overt vs covert) (reaching participants(vulnerable) and safety)

    - Immerse yourself in the participants & develop relationships

  26. Coding

    - Open coding: Immersion into data (what is happening here)

    - Axial coding: Impose structure; pull it apart and find important parts

    - Selective coding: Relationships and links between codes (put it all back together again)

    - Do not take to long or you may become unimmersed

  27. Semi-Structured Interviewing

    - Might not ask all participants the same questions or in same order but will stay on same topic

  28. Unstructured Interviewing

    - Conversational interviewing

    - No questions but have general topic areas to stay focussed

  29. Focus Groups

    - A focus group is a small, but demographically diverse group of people that are asked about their perceptions, opinions, beliefs, and attitudes

    - Questions are asked in an interactive group setting where participants are free to talk with other group members

  30. - Actual number not known for sure, can only be guessed

    - Can reach saturation (when no new data arises)

    - Theoretical sampling: as new data emerges we decide who we collect from

  31. We are influential as researchers and have power. We must therefore be highly reflexive and take care in with language/word use.

  32. Conversation Analysis

    - Record EVERYTHING even umms and ahhs

    - How does each utterance function for speakers

  33. - Your own experiences with the topic influence how you ask it ; acknowledge your bias (what do i know and how do i know it?)

    - May need maps, photos, news papers etc

    - Take notes, video or audio record

    - Need to phsycially and emotionally disengage afterward

    - can observe without interaction

  34. -Use personal contacts/relationships

    - Take your time

    - Hawthorne effect (being watched)

    - Identify gatekeepers/spokespersons

    - informants

    - identify possible misrepresentations/misidentifications (intentional or accidental)

  35. Ethnographical analysis

    - Typologies: Systematic method for classifying similar events

    - Sociograms: Assess groups, e.g. hierachies, friendships, cliques (affinity and dislike)

  36. Quota Sampling

    - Mainly used for narrrative research as it saves time

    - Not often in qual

  37. Convenience sampling

    - Anyone who wants to participant

    - happen to be in the area

  38. Schedule

    Do: start broad and easy and narrow it down to more specific

    Don't: assume, use double negatives, use jargon, be bias or use leading questions. Also avoid emotional words/be sensitive.

    Probe: Silence is ok, echo them but not to often. Can you tell me more.....

  39. Discourse analysis

    - Do not clean text up, have it word for word

    - look for parrerns and formulate hypothesis

    - Do not discount any ideas or thoughts just because they are different

  40. Computer progams

    - do not immerse yourself enough

    - finds what you want it to nothing else

  41. Considerations

    - member checking: Am i telling the story the way they expect

    - Co-analysis: blind (let them start from scratch) or already coded (look at first persons coding)

    - Journal: Incorporate journal, use to explain attitudes/biases. Keep it for 5 years or as long as you keep transcripts

  42. Ethics

  43. Rigour

  44. Informed Consent

    - Information letter

    - Consent form

    - Must know what they are consenting to

    - Capacity to consent

  45. Confidentiality

    - Use codes (pseudonyms) instead of names

    - Researcher knows identity but does not share

    - How will results be reported

  46. Anonymity

    - Even researcher does not know identity (e.g. online survey)

  47. Privacy

    - Do not push them to answer questions they do not want to

    (care when using administrative records)

  48. Incentives

    - Coffee, tea and cake is common

    - Large incentives become unethical as they may encourage risk taking behaviour

  49. Data

    - where will data be stored (min 5 year storage)

    - Who has access

    - Destruction of data? When, how and who.

  50. Withdrawal

    - Must have right to withdraw

    - Can give a time frame and they cannot withdraw afterwards

  51. Risk

    - If you show you have considered the risks then data will be more rich and meaningful

  52. Deception

    - Intentionally providing false or misleading information

    - Disclosure: Only tell them necessary details (avoid Hawthorne effect)

    - Debriefing: Disclose all details and let the ask questions (afterward)

  53. Theoretical

    - Congruence between epistemology, theoretical framework, methodology and methods

  54. Methodological

    - Using the appropriate methods

    - Triangulation

    - Decribe sampling procedure

    - Leave no loose ends

  55. Interpretative

    - How you analyse the data will determine how credible it is

    - Never leave out stories (confirm and disconfirm)

  56. Evaluative

    - Ethical (and has approval)

    - Must add to the body of knowledge

    - Procedures in place to avoid ethical problems

  57. How

    - Prolonged engagement: start early, build trust and understand perspectives

    - Reflexivity: Own transparency

    - Thick description: How you did everything, as much detail as posisble

    - Audit trail: Record everything you do

    - Interpretation: No less then 4 or 5 themese

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Flowchart on Research methods, created by Blake dorant on 31/05/2018.
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Blake dorant
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