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Flashcards in 2: Qualitative research Deck (15)
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1

Why do qualitative research? 2 reasons

To gain more in-depth understanding:
- How n why the observed outcomes are generated
- learn unexpected, not searched-for insights

2

3 types of qualitative data

1- interviews

2- observations (all kinds of behaviors: ethnography!)

3- documents, incl. multimedia

3

Sampling (interviewees) for qualitative research:
2 attributes

- is crucial: limits conclusions

- sample is usually small

4

Conducting a qualitative interview: 5=3+1+1 basics around

before:
- as appropriate to case: either familiarize w topic ahead, or position as unfamiliar
- choose appropriate site
- ensure confidentiality

during:
- remember it's not about you

after:
- use continue improvement

5

Conducting a qualitative interview: 4=1+3 guidelines

1 guideline for no bias:

- avoid why Qs, say how come or tell me more, so ppl don't rationalize

 

3 flow guidelines:

- flow from general to specific

- use open-ended Qs

- manage topic flow

6

In qualitative interviews, use probes: def + 5=2+1+2 examples

Strategical short verbal or nonverbal responses to elicit more info w/o interrupting flow:

2 verbal:
- repeater probe
- OK / I see (but don't reinforce)

1 semiverbal:
- hum

2 nonverbal:
- nod
- short silence

7

3 projective methods in qualitative interviews: 

From psychotherapy:
cmc

1- sentence completion > tell story

2- symbolic matching eg to animal pics

3- have interviewees make a collage

8

Projective methods: why?

People are better able to project feelings on other (entities) than to attribute them to themselves.

9

Coding for qualitative interviews: def + 2 suggestions

= Assign categorizing labels to chunks of interview text

- Iterative process to do throughout, after each interview

- SW like Nvivo helps

10

Key 5=1+2+2 steps of conducting research via qualitative interviews 

li.s.i.c.a.!

before:
0- review research lit.!!!

during:
1- sampling
2- interviews

after:
3- coding
4- analysis

11

2 suggestions for qualitative interview analysis

- beginning: be aware since start of lenses you use
- ending: visualize, but careful to not make numerical what is not

12

Qualitative vs quantitative data relationship in 3 considerations

- are both needed to understand reality

- quant can help qual: BEFORE identify sample of representative vs outliers cases; AFTER test generality of qual

- qual can help quant: BEFORE research design AFTER interpret results

13

in-depth interviews = define w 3 attributes + goal

  • more than 1h
  • ask informant about topic they are knowledgeable in
  • using guideline or protocol

- goal: gain in-depth understanding

14

interview guideline Vs protocol

List of Qs Vs (Memorised) list of topics

15

In qualitative interview do not: 7=1+3+3 negative suggestions

- talk about yourself (LOL!)


3 suggestions for no bias:

- take notes (makes informant self-conscious)
- reinforce some answers
- ask why

 

3 flow suggestions:

- ask yes/no question
- interrupt flow, but circle back
- let conversation go COMPLETELY off topic <> it's good to explore a bit