A Method for Developing Trustworthiness and Preserving Richness of Qualitative Data during Team-Based Analysis of Large Data Sets

Autor/inn/en	Abraham, Traci H.; Finley, Erin P.; Drummond, Karen L.; Haro, Elizabeth K.; Hamilton, Alison B.; Townsend, James C.; Littman, Alyson J.; Hudson, Teresa
Titel	A Method for Developing Trustworthiness and Preserving Richness of Qualitative Data during Team-Based Analysis of Large Data Sets
Quelle	In: American Journal of Evaluation, 42 (2021) 1, S.139-156 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Abraham, Traci H.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1098-2140
DOI	10.1177/1098214019893784
Schlagwörter	Qualitative Research; Credibility; Data; Data Analysis; Needs Assessment; Veterans; Public Agencies; Access to Health Care; Rural Areas + Suchen Sie Ihr Suchwort? Qualitative Forschung; Glaubwürdigkeit; Daten; Auswertung; Bedarfsermittlung; Kriegsteilnehmer; Veteran; Öffentliche Einrichtung; Rural area; Ländlicher Raum
Abstract	This article outlines a three-phase, team-based approach used to analyze qualitative data from a nation-wide needs assessment of access to Veteran Health Administration services for rural-dwelling veterans. The method described here was used to develop the trustworthiness of findings from analysis of a large qualitative data set, without the use of analytic software. In Phase 1, we used templates to summarize content from 205 individual semistructured interviews. During Phase 2, a matrix display was constructed for each of 10 project sites to synthesize and display template content by participant, domain, and category. In the final phase, the summary tabulation technique was developed by a member of our team to facilitate trustworthy observations regarding patterns and variation in the large volume of qualitative data produced by the interviews. This accessible and efficient team-based strategy was feasible within the constraints of our project while preserving the richness of qualitative data. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01