Mixed Methodology: Combining Qualitative and Quantitative Approaches

Mixed Methodology: Combining Qualitative and Quantitative Approaches

by Abbas M. Tashakkori, Charles B. Teddlie


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Mixed Methodology: Combining Qualitative and Quantitative Approaches by Abbas M. Tashakkori, Charles B. Teddlie

Looking for a practical guide to using mixed methodologies? Authors Abbas Tashakkori and Charles Teddlie explore the most resourceful way to combine qualitative and quantitative methodologies. Beginning with a discussion of the paradigm wars between positivism and constructivism, Mixed Methodology explains the differences between using mixed methods in only the research methodology portion of a study versus using mixed model studies across all phases of the research process, and then presents a typology of mixed methods and mixed model studies. The authors next examine sampling issues, reliability and validity questions, data collection procedures (including self-report techniques, questionnaires, observational methods, interaction analysis, and archival data/cultural artifacts), and data analysis techniques. Tashakkori and Teddlie conclude with detailed examples of current published and unpublished research that utilize mixed approaches. Researchers wanting to learn how to think about and utilize mixed methods in their studies will find this an indispensable guide for their work.

Product Details

ISBN-13: 9780761900702
Publisher: SAGE Publications
Publication date: 06/24/1998
Series: Applied Social Research Methods Series , #46
Pages: 200
Product dimensions: 5.50(w) x 8.50(h) x (d)

About the Author

Abbas Tashakkori (Ph.D., Social Psychology, University of North Carolina -Chapel Hill) is the Chairperson of the Department of Educational Psychology at the University of North Texas (Denton, Texas, USA). Previously, has has been a Professor of Research and Evaluation Methodology at Florida International University (Miami, Florida, USA). He has been a post-doctoral fellow at the Carolina Population Center and the University of North Carolina at Chapel Hill, as well as a visiting scholar at Texas A&M University. He has extensive experience as a program evaluator, and he has taught research methods for more than two decades in undergraduate and graduate programs at the University of North Carolina, Shiraz University, Stetson University, Louisiana State University, and Florida International University. In addition to research methodology, his published work covers a wide spectrum of research and program evaluation in cross-cultural and multi-cultural contexts, including self-perceptions, attitudes, and gender/ethnicity.

Charles Teddlie (Ph.D., Social Psychology, University of North Carolina at Chapel Hill) is the Jo Ellen Levy Yates Distinguished Professor of Education at Louisiana State University (LSU). He has also taught at the University of New Orleans and has been a Visiting Professor at the University of Newcastle-upon-Tyne (U.K.). He has also served as Assistant Superintendent for Research and Development at the Louisiana Department of Education. His major writing interests are social science research methodology and school effectiveness research. Professor Teddlie has taught research methods courses for over twenty years, including statistics and qualitative research methods. He has been awarded the Excellence in Teaching Award from the LSU College of Education. Professor Teddlie has lectured on school effectiveness research and educational research methodology in several countries including the United Kingdom, the Republic of Ireland, the Netherlands, Norway, Denmark, Russia, the Ukraine, and Belarus.

Table of Contents

Introduction to Mixed Methods and Mixed Model Studies in the Social and Behavioral Sciences
Pragmatism and the Choice of Research Strategy
Research Design Issues for Mixed Method and Mixed Model Studies
Sampling, Measurement, and Quality of Inferences
Data Collection Strategies and Research Procedures
Alternatives to Traditional Data Analytic Strategies
Examples of Mixed Model Designs
Extended Examples of Mixed Model Designs
Conclusions and Future Directions

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