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Autor/inn/enCollins, Kathleen M. T.; Onwuegbuzie, Anthony J.; Jiao, Qun G.
TitelA Mixed Methods Investigation of Mixed Methods Sampling Designs in Social and Health Science Research
QuelleIn: Journal of Mixed Methods Research, 1 (2007) 3, S.267-294 (28 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1558-6898
DOI10.1177/1558689807299526
SchlagwörterSampling; Sample Size; Generalization; Qualitative Research; Statistical Analysis; Models; Social Science Research; Health; Political Issues; Validity
AbstractA sequential design utilizing identical samples was used to classify mixed methods studies via a two-dimensional model, wherein sampling designs were grouped according to the time orientation of each study's components and the relationship of the qualitative and quantitative samples. A quantitative analysis of 121 studies representing nine fields in the social or health sciences revealed that more studies utilized a sampling design that was concurrent (66.1%) than sequential (33.9%). Also, identical sampling designs were the most prevalent, followed by nested sampling, multilevel sampling, and parallel sampling, respectively. Qualitative analysis suggested that across a number of studies the researchers made statistical generalizations that were not sufficiently warranted--culminating in interpretive inconsistency and contributing to crises of representation, legitimation, integration, and politics. (Contains 5 tables, 3 figures, and 9 notes.) (As Provided).
AnmerkungenSAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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