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Which clippings match 'Research Design' keyword pg.1 of 3
09 NOVEMBER 2018

Designing Research for Qualitative Data Analysis

"Qualitative data analysis aims to make sense of the abundant, varied, mostly nonnumeric forms of information that accrue during an investigation. As qualitative researchers, we reflect not only on each piece of data by itself but also on all the data as an integrated, blended, composite package. Increasingly, qualitative researchers are participants in interdisciplinary, mixed-methods research teams for which analytic and interpretive processes are necessarily complementary, distinct, clearly articulated, and critical to the larger investigation. We search for insight, meaning, understanding, and larger patterns of knowledge, intent, and action in what we generate as data. Approaching this task in a responsive, inductive, transparent, yet systematic way demands our best balance of good science, appropriate rigor and quality, and openness to unanticipated findings. Many qualitative studies now include multiple sources of data, including narrative or textual and visual (e.g., photographs, videos, creative works and art, and theatric or performative components) information for analysis. Thorne (2008) describes the analytic process as moving 'from pieces to patterns' (p. 142) through the activities of organizing, reading and reviewing mindfully, coding, reflection, thematic derivation, and finding meaning."

(Jennifer B. Averill)

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TAGS

activities of organising • analytic process • analytic processes • data analysis • from pieces to patterns • inductive enquiry • information for analysis • interdisciplinary research • interpretive processes • looking for pattern within data • mixed methods research • multiple sources of data • nursing • nursing research • nursing research practice • pattern of meaning • patterns of action • patterns of intent • patterns of knowledgepatterns of meaningqualitative analysisqualitative data analysis • qualitative data analysis approaches • qualitative data analysis methods • qualitative data analysis techniques • qualitative research techniquequalitative researchersqualitative studiesreadingresearch design • reviewing mindfully • running the interview process • Sally Thorne • sensemakingsystematic approachthematic analysisthematic codingthematic patterns

CONTRIBUTOR

Simon Perkins
21 JULY 2013

Validity Concepts in Research: an Integrative Approach

"Research involves drawing upon elements and relations from three basic domains: (a) a conceptual domain, which includes concepts and relations considered in abstract form, (b) a methodological domain, which includes instruments and techniques for obtaining observations and for relating sets of observations; and (c) a substantive domain, which includes events, processes, and phenomenon in the 'real' world.

Any research project must contain elements and relations from each of these domains. Thus, it is not possible to conduct research, without some method, some concept (or set of concepts), and some event or process. Elements and relations from each of these domains are not all combined simultaneously. Research generally proceeds by combining two of the domains, to form some structure, and subsequently incorporating (i.e., integrating) the third domain with the developed structure. With three domains, there are at least three patterns for combining the domains. Those three ways represent three distinct research paths; and they pose different advantages and limitations for the investigator."

(David Brinberg, 1982)

David Brinberg (1982) ,"Validity Concepts in Research: an Integrative Approach", in NA – Advances in Consumer Research Volume 09, eds. Andrew Mitchell, Ann Abor, MI : Association for Consumer Research, Pages: 40–44.

TAGS

1982 • abstract form • academic research • advantages and limitations • analytic technique • Association for Consumer Research • concepts and ideas • concepts and relations • conceptual domain • David Brinberg • events • forms of validity • instruments and techniques • integrative scholarshipintegrative techniqueinterrelationships • investigator • knowledge domain • measuring device • methodological domain • obtaining observations • phenomenon • processes • real world • relating observations • relationsresearch designresearch method • research paths • research processresearch projectresearch strategiesresearcher • substantive domain • theory buildingUniversity of Marylandvalid knowledgevalid scholarshipvalidity

CONTRIBUTOR

Simon Perkins
31 MARCH 2013

Qualitative research primarily is inductive in its procedures

"qualitative inquiry is inductive and often iterative in that the evaluator may go through repeated cycles of data collection and analysis to generate hypotheses inductively from the data. These hypotheses, in turn, need to be tested by further data collection and analysis. The researcher starts with a broad research question, such as 'What effects will information systems engendered by reforms in the UK's National Health Service have on relative power and status among clinical and administrative staff in a teaching hospital?' [48].The researcher narrows the study by continually posing increasingly specific questions and attempting to answer them through data already collected and through new data collected for that purpose. These questions cannot all be anticipated in advance. As the evaluator starts to see patterns, or discovers behavior that seems difficult to understand, new questions arise. The process is one of generating hypotheses and explanations from the data, testing them, and modifying them accordingly. New hypotheses may require new data, and, consequently, potential changes in the research design."

(Bonnie Kaplan and Joseph A. Maxwell, p.38, 2005)

Kaplan, B. and J. Maxwell (2005). Qualitative Research Methods for Evaluating Computer Information Systems. Evaluating the Organizational Impact of Healthcare Information Systems. J. Anderson and C. Aydin. New York, Springer: 30–55.

TAGS

Bonnie Kaplandata analysisdata collectiondata collection and analysis • generating explanations • generating hypotheses • hypothesishypothesis testinginductive enquiryinductive proceduresinductive reasoningiterative cycleJoseph Maxwellpatterns of meaning • qualitative enquiry • qualitative researchresearch designresearch questionresearcher • specific questions

CONTRIBUTOR

Simon Perkins
10 MARCH 2013

Purposive / judgmental / selective / subjective research sampling

"To say you will engage in purposive sampling signifies that you see sampling as a series of strategic choices about with whom, where and how to do your research. Two things are implicit in that statement. First is that the way that you sample has to be tied to your objectives. Second is an implication that follows from the first, i.e., that there is no one 'best' sampling strategy because which is 'best' will depend on the context in which you are working and the nature of your research objective(s).

Purposive sampling is virtually synonymous with qualitative research. However, because there are many objectives that qualitative researchers might have, the list of 'purposive' strategies that you might follow is virtually endless, and any given list will reflect only the range of situations the author of that list has considered."

(Ted Palys, 2008)

Palys, T. (2008). "Purposive Sampling". The SAGE Encyclopedia of Qualitative Research Methods. Lisa M. Given. London, SAGE Publications, Inc. 1&2.

TAGS

criterion sampling • critical case sampling • deviant case sampling • disconfirming case sampling • extreme case sampling • judgement of the researcher • judgmental sampling • maximum variation sampling • negative case sampling • non-probability sampling • non-probability sampling technique • paradigmatic case sampling • purposive sampling • purposive selection • purposive strategies • qualitative researchqualitative researchersresearchresearch design • research objectives • sample sizesampling • sampling strategy • sampling techniques • selective sampling • stakeholder sampling • strategic choices • subjective sampling • Ted Palys • theory-guided sampling • typical case sampling

CONTRIBUTOR

Simon Perkins
10 FEBRUARY 2013

Inventory of research methods for librarianship and informatics

"This article defines and describes the rich variety of research designs found in librarianship and informatics practice. Familiarity with the range of methods and the ability to make distinctions between those specific methods can enable authors to label their research reports correctly. The author has compiled an inventory of methods from a variety of disciplines, but with attention to the relevant applications of a methodology to the field of librarianship. Each entry in the inventory includes a definition and description for the particular research method. Some entries include references to resource material and examples."

(Jonathan D. Eldredge, 2004, Journal of the Medical Library Association)

TAGS

2004academic researchanalysisaudit • autobiography • bibliomining • biographycase study • citation analysis • cohort design • comparative study • content analysisdata mining • definition and description • delphi method • descriptive survey • focus group • gap analysis • historyinformaticsinventory • inventory of methods • JMLA • Journal of the Medical Library Association • librarianship • library science • library studies • longitudinal studymeta-analysis • narrative review • participant observation • programme evaluation • randomised controlled trial • research designresearch methodresearch methodsresearch reports • summing up • systematic reviews • unobtrusive observation

CONTRIBUTOR

Simon Perkins
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