ARM - workgroups Flashcards
Gap-spotting
finding a gap in the literature and based on that, formulating specific research questions.
Problematization
endeavor to know how and to what extent it might be possible to think differently, instead of what is already known. assumption-challenging approaches (aims to question the assumptions underlying existing theory in some significant ways) formulate more informed and novel research questions based on that.
3 types of problematization:
- incomplete
- inadequacy
- incommensurate
- Incomplete
claiming that existing literature was incomplete in some way or another, and that the researcher’s own study would be able to advance it.
- Inadequacy
claiming that prior literature has overlooked an important perspective which would have had the potential to further our understanding of the subject matter
- Incommensurate
argueing that existing literature misguided the way knowledge was produced about the subject matter in question
three forms of gap-spotting
- confusion spotting
- neglect spotting
- application spotting
confusion spotting
finding confusion in existing literature –> competing explanations
neglect spotting
spotting something neglected in existing literature –> not enough research done, overlooked (pregnancy research on fetus ipv mother), unsubstantiated = lack of empirical evidence
application spotting
spotting a new application in existing literature; The research task is to provide an alternative perspective to further our understanding of the particular subject matter in question –> extend/supplement in a specific area of research
What are the various techniques that Mays and Pope (2000) describe to improve the validity of a qualitative study?
- Triangulation
- Respondent validation/member check
- Clear exposition of methods of data collection and analysis
- Reflexivity
- Attention to negative cases
- Fair dealing
Triangulation
comparing results from either two or more different methods of data collection. Ensuring comprehensiveness and encouraging a more reflexive analysis of the data (see below) than as a pure test of validity
Respondent validation/member check
the investigator’s account is compared with those of the research subjects to establish the level of correspondence between the two sets. Study participants’ reactions to the analyses are then incorporated into the study findings
Clear exposition of methods of data collection and analysis
provide a clear account of how early, simpler systems of classification evolved into more sophisticated coding structures and thence into clearly defined concepts and explanations for the data collected. Necessary because methods unavoidably influence the objects.
Reflexivity
sensitivity to the ways in which the researcher and the research process have shaped the collected data, including the role of prior assumptions and experience, which can influence even the most avowedly inductive inquiries. Personal and intellectual biases need to be made plain at the outset of any research reports to enhance the credibility of the findings. The effects of personal characteristics, such as age, sex also need to be discussed.