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Survey Development: A Theory-Driven Mixed-Method Approach provides both an overview of standard methods and tools for developing and validating surveys and a conceptual basis for survey development that advocates establishing and testing of hypotheses pertaining to presumptions and score-interpretation and use inferences and mixing quantitative and qualitative methods. 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 using both quantitative and qualitative methods. 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 TDMM framework for developing survey and conducting survey research. This provides a full process for survey development intended to yield results that can support valid interpretation and use of scores. 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.
Tony Chiu Ming Lam is Associate Professor of Applied Measurement and Program Evaluation at the Ontario Institute for Studies in Education, University of Toronto, Canada Kathy Ellen Green is Professor Emeritus, Research Methods and Statistics, Morgridge College of Education, University of Denver, USA
Part A: Theory and Methodology 1. Survey Research 2. Theory and Validity 3. Mixed Methods 4. Measurement Theory 5. Theories of 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. Synopsis
