The Routledge reviewer's guide to mixed methods analysis / edited by Anthony J. Onwuegbuzie and R. Burke Johnson.

Includes bibliographical references and index.

Mapping the emerging landscape of mixed analysis -- Part I. Quantitative approaches to qualitative data -- Exploratory factor analysis of text -- Correspondence analysis of qualitative data -- Multidimensional scaling of qualitative data -- Cluster analysis for mixed methods research -- Chi-square automatic interaction detection analysis of qualitative data -- Multiple linear regression analysis with qualitative data that have been quantitized -- Structural equation modeling with qualitative data that have been quantitized -- Hierarchical linear modeling with qualitative data that have been quantitized -- Bayesian analyses with qualitative data -- Item response theory integrating qualitative data -- Diachronic analysis of qualitative data -- Part II. Qualitative approaches to quantitative data -- Qualitizing data -- Coding techniques for quantitative and mixed data -- Mixed methodological discourse analysis -- Part III. "Inherently" mixed analysis approaches -- Ethnographic decision models with qualitative data: a thoroughly mixed method -- Qualitative comparative analysis (QCA): an integrative approach suited for diverse mixed methods and multimethod research strategies -- Q methodology as mixed analysis -- Social network analysis as mixed analysis -- Social media analytics as mixed analysis -- Geographic information systems as mixed analysis -- Nonverbal communication analysis as mixed analysis -- Development of a joint display as a mixed analysis -- The case comparison table: a joint display for constructing and sorting simple tables as mixed analysis -- Part IV. Use of software for mixed analysis -- Mixing beyond mixed methods: QDA miner, SimStat, and WordStat -- Using MAXQDA for mixed methods research -- Introduction to dedoose for mixed analysis -- Introduction to ATLAS.ti for mixed analysis -- Using NVivo for mixed methods research -- Introduction to SPSS for mixed analysis.

"The Reviewer's Guide for Mixed Methods Research Analysis is designed for evaluators of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its thirty-three uniquely structured chapters cover both traditional and emerging mixed methods data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The book updates readers on each technique's key principles, appropriate usage, underlying assumptions, and limitations. It thereby assists reviewers in offering constructive commentary on works they evaluate, and also serves as an indispensable author's reference for preparing sound research manuscripts and proposals"-- Provided by publisher.