Describing and Illustrating Data Analysis in Mixed Research | Zendy

Julie Combs | Zendy; Anthony J. Onwuegbuzie | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Describing and Illustrating Data Analysis in Mixed Research

Author(s) -

Julie Combs,

Anthony J. Onwuegbuzie

Publication year - 2010

Publication title -

international journal of education

Language(s) - English

Resource type - Journals

ISSN - 1948-5476

DOI - 10.5296/ije.v2i2.526

Subject(s) - multimethodology , computer science , data science , quantitative analysis (chemistry) , qualitative analysis , qualitative property , mixed phase , mixed model , management science , meta analysis , data analysis , qualitative research , data mining , phase (matter) , psychology , mathematics education , machine learning , sociology , medicine , social science , chemistry , economics , organic chemistry , chromatography

In 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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research