Mixed Methodology: Combining Qualitative and Quantitative Approaches / Edition 1

by Abbas M. Tashakkori, Charles B. Teddlie

Overview

Looking for a practical guide to using mixed methodologies? This book explores the most effective way to combine qualitative and quantitative techniques. It begins with a discussion of the paradigm wars between positivism and constructivism, explains the difference between using mixed methods in just the research methodology portion of a study versus using mixed model studies across all phases of the process, and then presents a typology of mixed methods and mixed model studies.

Product Details

ISBN-13:	9780761900719
Publisher:	SAGE Publications
Publication date:	06/24/1998
Series:	Applied Social Research Methods , #46
Edition description:	New Edition
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

PART ONE: PARADIGMS AND POLITICS OF RESEARCH
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
PART TWO: METHODS AND STRATEGIES OF RESEARCH
Sampling, Measurement, and Quality of Inferences
Data Collection Strategies and Research Procedures
Alternatives to Traditional Data Analytic Strategies
PART THREE: APPLICATIONS, EXAMPLES AND FUTURE DIRECTION OF MIXED MODEL RESEARCH
Examples of Mixed Model Designs
Extended Examples of Mixed Model Designs
Conclusions and Future Directions

Editorial Reviews

"This is an extremely useful book for its intended audience of researchers and graduate students in the social sciences. It addresses the framework issues of philosophy and politics of research, the methods that one might use, and the applications of different kinds of methodologies. The book is balanced, informative, and clearly written…"

Grant Gillett

Presents a logically exhaustive typology of mixed models and mixed method studies and a how-to guide for each of the major types of studies. Strategies covered include sampling, measurement, data collection, data analysis, and alternatives to data- analytic methods. Concludes with simple and extended examples of mixed model designs, some of which are taken from dissertations of the authors' students. Annotation c. by Book News, Inc., Portland, Or.

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