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A software feature for mixed methods analysis: The MAXQDA Interactive Quote Matrix

Authors :
Timothy C. Guetterman
Tyler G. James
Source :
Methods in Psychology, Vol 8, Iss , Pp 100116- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Mixed methods research relies on the integration of quantitative and qualitative data to develop meta-inferences. Despite an increase in techniques to facilitate integration at the methods and reporting levels, there is less practical guidance on how to conduct mixed methods integrative data analysis. Qualitative data analysis software is rapidly advancing to facilitate integrative analysis in mixed methods research studies. However, examples on how these features support analysis are relatively limited. The purpose of this article is to promote the use of qualitative data analysis software for integrative analysis in mixed methods research by describing the value of the major features available in software (i.e., code queries, crosstabulations, and quote matrices). In addition to a brief overview of these features, this article demonstrates the use of MAXQDA's Interactive Quote Matrix with a real-life example of a completed mixed methods study and delineates the step-by-step process on how to use this feature to develop meta-inferences.

Details

Language :
English
ISSN :
25902601
Volume :
8
Issue :
100116-
Database :
Directory of Open Access Journals
Journal :
Methods in Psychology
Publication Type :
Academic Journal
Accession number :
edsdoj.1976dfd65748cbb85b7afb6146d3d4
Document Type :
article
Full Text :
https://doi.org/10.1016/j.metip.2023.100116