Data Analysis in Mixed Research: A Primer
dc.contributor.author | Onwuegbuzie, Anthony J. | |
dc.contributor.author | Combs, Julie P. | |
dc.date.accessioned | 2021-04-12T14:52:53Z | |
dc.date.available | 2021-04-12T14:52:53Z | |
dc.date.issued | 2011-04 | |
dc.identifier.citation | Onwuegbuzie, A. J., & Combs, J. P. (2011). Data analysis in mixed research: A primer. International Journal of Education, 3(1). | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.11875/2950 | |
dc.description | Article originally published in International Journal of Education | en_US |
dc.description.abstract | The purpose of this methodological article is to provide a primer for conducting a mixed analysis—the term used for analyzing data in mixed research. Broadly speaking, a mixed analysis involves using quantitative and quantitative data analysis techniques within the same study. In particular, a heuristic example using real data from a published study entitled “Perceptions of Barriers to Reading Empirical Literature: A Mixed Analysis” (Benge, Onwuegbuzie, Burgess, & Mallette, 2010) is used with the aid of screenshots to illustrate how a researcher can conduct a quantitative dominant mixed analysis, wherein the quantitative analysis component is given higher priority and qualitative data and analysis is incorporated to increase understanding of the underlying phenomenon. | en_US |
dc.publisher | International Journal of Education | en_US |
dc.subject | Mixied research | en_US |
dc.subject | Mixed methods research | en_US |
dc.subject | Quantitative research | en_US |
dc.subject | Qualitative research | en_US |
dc.subject | mixed analysis | en_US |
dc.subject | Analysis screenshots | en_US |
dc.title | Data Analysis in Mixed Research: A Primer | en_US |
dc.type | Article | en_US |
dc.description.department | Education |