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Survey Development
A Theory-Driven Mixed Methods Approach




  • Available for pre-order on March 28, 2023. Item will ship after April 18, 2023
ISBN 9780367222338
April 18, 2023 Forthcoming by Routledge
336 Pages 34 Color & 15 B/W Illustrations

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Book Description

Survey Development: A Theory-Driven Mixed Methods Approach provides both an overview of standard methods and tools for developing and validating surveys and a conceptual basis for survey development. It advocates logical reasoning that combines theory related to construct validity with theory regarding design, and theory regarding survey response, item review, and identification of misfitting responses.

The book has 14 chapters which are divided into four parts. Part A includes six chapters that deal with theory and methodology. Part B has five chapters and it gets into the process of constructing the survey. Part C comprises two chapters devoted to assessing the quality or psychometric properties (reliability and validity) of survey responses. Finally, the one chapter in Part D is an attempt to present a synopsis of what was covered in the previous chapters in regard to developing a survey with the Theory-Driven-Mixed-Methods (TDMM) framework for developing survey and conducting survey research. This provides a full process for survey development intended to yield results that can support validity. A mixed methods approach integrates both qualitative and quantitative data outcomes.

Including detailed online resources, this book is suitable for graduate students who use or are responsible for interpretation of survey research and survey data as well as survey methodologists and practitioners who use surveys in their field.

Table of Contents

Part A: Theory and Methodology  1. Survey Research  2. Theory and Validity  3. Mixed Methods  4. Measurement Theory  5. Theories of Survey Response and Error  6. Participant Sampling;  Part B: Survey Construction  7. Survey Development Framework  8. Writing Items  9. Constructing Response Scales  10. Qualitative Survey Item Review  11. Quantitative Survey Item Review;  Part C: Assessing Psychometric Properties  12. Assessing Reliability  13. Assessing Validity;  Part D: Recommendations for Theory-Driven Mixed-Methods Survey Development and Validation  14. Synthesis of Theory and Mixed Methods in Survey

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Author(s)

Biography

Kathy Green is Professor Emeritus, Research Methods and Statistics, Morgridge College of Education, University of Denver, USA

Tony Lam is Associate Professor of Applied Measurement and Program Evaluation at the Ontario Institute for Studies in Education, University of Toronto, Canada

Reviews

"This book is carefully written to ensure precise meaning and that it is understandable to a broad audience. In my more than three decades following survey research, no other text has addressed the topic as intimately. Although there are many books on survey research, they lack the organizing schema of being theory based. While it is easy to tell what things are or how to do them, without the basis in theory (and empirical evidence) the reader is left without the framework to understand why they are that way. Developing this understanding is what equips your audience to move beyond the specifics that are presented to address new and different challenges as they go about designing and conducting survey research and making sense of their results. This moves this book to the forefront of the many texts available." -- Steve Siera, Ph.D., former Chair, AERA SIG on Survey Research in Education, former Interim Dean and Associate Dean College of Education and Counseling Psychology, St. Martin’s University, Lacey, Washington, USA

"Required reading in multi-disciplinary seminars in survey methodology and research design, the proposed Theory-Driven Mixed Method (TDMM) approach is a pragmatic, timely, and useful contribution in a fast-transforming field. Through compelling content, eclectic examples, brilliantly designed illustrations, and pithy tables, the authors draw upon their extensive experiences and passion for the subject matter. This must-have tool in researchers’ armory is a critical reminder for the need to balance survey design features and survey quality." -- Kranti (Kran) Dugar, Ph.D., Assistant Professor of Marketing, College of Business, University of Wisconsin-Eau Claire, USA