Survey Development: A Theory-Driven Mixed Methods Approach

ISBN-13: 9780367222338 / Angielski / Miękka / 2023 / 336 str.

Tony C. M. Lam; Kathy E. Green

Opis

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.

Spis treści

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