{"title":"Media Review: Qualitative Comparative Analysis in Mixed Methods Research and Evaluation","authors":"Erica L. Doering, B. Cooper","doi":"10.1177/15586898221125636","DOIUrl":null,"url":null,"abstract":"Qualitative Comparative Analysis (QCA) is both a case-oriented research approach and analytic technique that uses set theory to understand causal relationships among conditions and an outcome (Rihoux & Ragin, 2009). Both quantitative and qualitative data can be used in QCA making the method useful for mixed methods research (MMR; de Block & Vis, 2019). QCAwas created by a sociologist, Charles Ragin, in 1987 (Ragin, 1987) and has slowly gained traction in multiple fields to provide a deeper understanding of causal complexity (e.g., Hill et al., 2019). If you are looking for a useful resource for understanding and conducting QCA within the context of MMR, we highly recommend Qualitative Comparative Analysis in Mixed Methods Research and Evaluation by Leila C. Kahwati and Heather L. Kane. This text is the 6th volume in the “Mixed Methods Research Series” providing applied and practical practice for QCA within MMR. Kahwati and Kane bring their practical experience using QCA in MMR to life within the pages of this text. The structure, content, and organization allow researchers to quickly grasp QCA and MMR concepts and apply it to their own research. This review comes from the perspective of a graduate student with interest and training in QCA andMMR and a senior researcher with MMR training and experience publishing studies using QCA.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"17 1","pages":"115 - 117"},"PeriodicalIF":3.8000,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mixed Methods Research","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/15586898221125636","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
引用次数: 1
Abstract
Qualitative Comparative Analysis (QCA) is both a case-oriented research approach and analytic technique that uses set theory to understand causal relationships among conditions and an outcome (Rihoux & Ragin, 2009). Both quantitative and qualitative data can be used in QCA making the method useful for mixed methods research (MMR; de Block & Vis, 2019). QCAwas created by a sociologist, Charles Ragin, in 1987 (Ragin, 1987) and has slowly gained traction in multiple fields to provide a deeper understanding of causal complexity (e.g., Hill et al., 2019). If you are looking for a useful resource for understanding and conducting QCA within the context of MMR, we highly recommend Qualitative Comparative Analysis in Mixed Methods Research and Evaluation by Leila C. Kahwati and Heather L. Kane. This text is the 6th volume in the “Mixed Methods Research Series” providing applied and practical practice for QCA within MMR. Kahwati and Kane bring their practical experience using QCA in MMR to life within the pages of this text. The structure, content, and organization allow researchers to quickly grasp QCA and MMR concepts and apply it to their own research. This review comes from the perspective of a graduate student with interest and training in QCA andMMR and a senior researcher with MMR training and experience publishing studies using QCA.
期刊介绍:
The Journal of Mixed Methods Research serves as a premiere outlet for ground-breaking and seminal work in the field of mixed methods research. Of primary importance will be building an international and multidisciplinary community of mixed methods researchers. The journal''s scope includes exploring a global terminology and nomenclature for mixed methods research, delineating where mixed methods research may be used most effectively, creating the paradigmatic and philosophical foundations for mixed methods research, illuminating design and procedure issues, and determining the logistics of conducting mixed methods research. JMMR invites articles from a wide variety of international perspectives, including academics and practitioners from psychology, sociology, education, evaluation, health sciences, geography, communication, management, family studies, marketing, social work, and other related disciplines across the social, behavioral, and human sciences.