View stunning SlideShares in full-screen with the new iOS app!Introducing SlideShare for AndroidExplore all your favorite topics in the SlideShare appGet the SlideShare app to Save for Later — even offline
View stunning SlideShares in full-screen with the new Android app!View stunning SlideShares in full-screen with the new iOS app!
Refining Qualitative Data QRAM 9th National Seminar 2012
Consistency-questions model What are questions or purposes of the research? What then are the research methods? What are the underlying assumptions? What are the findings? What are the implications from the findings?
Qualitative method & methodology Research ‘Hypothesis’ design Theory Data building generation Data analyses
Design validity criteria Viable data Reliable method Generalisable analyses truth value (credibility)
Sense of qualitative methods Preference for qualitative data Preference for naturally occurring data Preference for meanings Preference for inductive research (hypothesis-generating)
Quan-Qual continuum Qualitative Quantitative Data theory Theory data Grounded theory Hypothesis testing Empirical conceptual Conceptual Inductive (theory- empirical building) Deductive (theory testing) Political (value-laden) Apolitical (value free)
Interviewing ‘purposeful conversation’ Method of generating data (interview transcript as non-extant text) Semi-structured, in-depth, face-to-face ‘paradigmatic feminist method’ Emancipatory paradigm: ‘praxis, empowerment/ reciprocity
Interviewer-interviewee Locating self in research Being transparent & accountable Epistemic privilege (who knows) Reciprocal reflexivity: Knower/ known knower-known Theoretical sampling (Grounded Theory Methodlogy) generalisability of analyses Elite interviewing
Ethics in interviewing Monash University Human Research Ethics Committee (MUHREC) High risk/ low risk research : Participants Types of activities Informed Consent (≠ implied consent) Collection, use and disclosure of information
Explanatory Statement Sampling (how & why) Research aims Benefits Method of generating data Time involved Inconvenience/ discomfort Withdrawal from research Confidentiality Data storage (data for other purpose)
Consent Form Data as information Agree to be interviewed Agree to allow interviewed to be recorded Agree to make myself available for follow- up interviews Data as potential information Use of data for future research projects (optional)
Sensitive topic ‘one that potentially poses for those involved a substantial threat, the emergence of which renders problematic for the researcher and/or researched the collection, holding, and/ or dissemination of research data’ (Renzetti and Lee 199: 5) Researcher: stewardship of data
Grounded Theory Methdology Data as source of theory (hypothesis- building) ‘Theory’: relationship among categories that is inductively generated from ‘units of meaning’ (Kelle 1997) ‘Hypothesis’: tentative and imprecise conjecture about possible relationships between two domains of interest (Kelle 1997)
Data analyses using CAQDAS CAQDAS: Computer-assisted Qualitative Data Analysis Software (ALTAS.ti) Data: interview transcript Data analyses: data management & interpretation coding (code-and-retrieve) Codes: heuristic devices (units of meaning) theory-building Coding: De-contextualise (data reduction) & re- contextualise Fine-grained hermeneutic analysis