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Journal of Mixed Methods Research
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A Mixed Methods Investigation of Mixed Methods Sampling Designs in Social and Health Science Research

Kathleen M. T. Collins

University of Arkansas at Fayetteville, kcollinsknob{at}cs.com

Anthony J. Onwuegbuzie

University of South Florida, Tampa

Qun G. Jiao

Baruch College, City University of New York

A 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.

Key Words: sampling • sample size • interpretive consistency • representation • generalization

Journal of Mixed Methods Research, Vol. 1, No. 3, 267-294 (2007)
DOI: 10.1177/1558689807299526
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[Abstract] [PDF]