Open AccessDescribing 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.