evaluating qualitative research

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INFO 272. Qualitative Research Methods 16 April 2009

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INFO 272. Qualitative Research Methods 16 April 2009. Evaluating Qualitative Research. Typical Reactions. is not generalizable / is “anecdotal” The sample is too small to say anything / is not a random sample / not representative What is the hypothesis you are testing? - PowerPoint PPT Presentation

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Page 1: Evaluating  Qualitative  Research

INFO 272. Qualitative Research Methods16 April 2009

Page 2: Evaluating  Qualitative  Research

Typical Reactions is not generalizable / is “anecdotal” The sample is too small to say anything / is

not a random sample / not representative What is the hypothesis you are testing? Great stories, but can you show me some

data that supports your claims? is subjective, the researcher’s presence in

the setting biases the data lacks rigor, procedure is unsystematic

Page 3: Evaluating  Qualitative  Research

Becker – epistemology of qual research

Quantitative Tradition Qualitative Tradition

Reliability – reproducing the findings through the same procedures, same findings from multiple observers

Accuracy – based on close observation not remote indicators

Validity – the degree to which one measured the phenomenon one claims to be dealing with

Precision – close to the thing discussed

Breadth – knowledge of a broad range of matters that touch on the topic

Page 4: Evaluating  Qualitative  Research

Criteria for Quant Research

Page 5: Evaluating  Qualitative  Research

Functional Equivalence Criteria for evaluating quantitative research is

not directly applicable to qualitative research Can we draw out some abstract, general

standards and then respecify for qualitative research

Kvale on epistemologyAbandoning a correspondence theory of truthDefensible (rather than absolute) knowledge

claims requiring argumentation

Page 6: Evaluating  Qualitative  Research

Functional EquivalenceQuantitative Tradition Qualitative TraditionReliability of measures (c)

Confidence (c)

Relevance (r)

Triangulation and reflexivity (c)

Internal validity (c) Transparency and procedural clarity (c)

Sample size (c) Corpus construction (c, r)

Representative sampling (r)

Thick description (c, r)

External validity (r) Local surprise (r)

Validity of measures (r) Communicative validation (r)

Page 7: Evaluating  Qualitative  Research

Triangulation and Reflexivity (c) In situ verification

process i.e. interviews about

Internet use supplemented by observation

Page 8: Evaluating  Qualitative  Research

Transparency (c)

Page 9: Evaluating  Qualitative  Research

Corpus Construction (c, r) Maximizing the diversity of unknown

representations and mapping those representations

Representativeness and ‘external validity’ is a matter of argumentation

Page 10: Evaluating  Qualitative  Research

Thick Description (c, r) ‘high-fidelity’ reportage: verbatim quotes –

demonstrating the provenance of a claim Footnotes and sources But also, do you get a whole picture of the

social world, its elements, and how they are interlinked? Especially the meaning of the social phenomenon.

Page 11: Evaluating  Qualitative  Research

Local Surprise (r) Surprise in relation to a common-sense view Surprise in relation to theoretical expectation Solely confirming evidence (just as totally

consistent evidence) should raise suspicion

Page 12: Evaluating  Qualitative  Research

Communicative Validation (r) Gaining feedback from research participants

(and others?) Remember interviewing technique of

‘interpreting’ on the fly to get confirmation from interviewees

Page 13: Evaluating  Qualitative  Research

The Future of Evaluation Websites and digital archives that make

qualitative data accessible to the public

Page 14: Evaluating  Qualitative  Research

Summary Make your methods visible Make your data (ideally) available Continual verification in situ (as part of your

iterative process) Closeness to the social phenomenon and

openness to surprises, the counter-intuitive

Re-read Becker on the “epistemology of qualitative research” for further suggestions