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dc.contributor.authorCombs, Julie P.
dc.contributor.authorOnwuegbuzie, Anthony J.
dc.date.accessioned2021-04-12T14:58:23Z
dc.date.available2021-04-12T14:58:23Z
dc.date.issued2010
dc.identifier.citationCombs, J. P., & Onwuegbuzie, A. J. (2010). Describing and illustrating data analysis in mixed research. International Journal of Education, 2(2).en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11875/2951
dc.descriptionArticle originally published in Internation Journal of Educationen_US
dc.description.abstractIn this methodological paper, the authors propose a tool that brings together various quantitative and qualitative data analysis (i.e., mixed analysis) techniques into one meta-framework to assist mixed researchers (who use qualitative and quantitative approaches within the same study) in the data analysis phase of mixed research studies. A meta-framework for mixed analysis techniques is described, which incorporates 13 criteria that methodologists have used to create their mixed analysis typologies. In particular, a heuristic example is used with the aid of screenshots to illustrate how one can utilize several of these data analysis techniques to conduct mixed analyses.en_US
dc.publisherInternational Journal of Educationen_US
dc.subjectmixed researchen_US
dc.subjectMixed methods researchen_US
dc.subjectQuantitative researchen_US
dc.subjectQuantitative researchen_US
dc.subjectmixed analysisen_US
dc.subjectAnalysis screenshotsen_US
dc.titleDescribing and Illustrating Data Analysis in Mixed Researchen_US
dc.typeArticleen_US
dc.description.departmentEducation


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