Survey Development

A Theory-Driven Mixed-Method Approach

Tony Chiu Ming Lam, Kathy Ellen Green

• Publisher: Routledge
• Year: 2023
• eBook ISBN: 9781000862133
• Edition: 1
• Topic: Social Sciences
• Subtopic: Social Science Research & Methodology
• Index: Social Sciences

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.

Table of contents

• Cover
• Endorsement Page
• Half Title Page
• Title Page
• Copyright Page
• Table of Contents
• Preface
• Acknowledgments
• Part A Theory and Methodology
• Part B Survey Construction
• Part C Assessing Psychometric Properties
• Part D Recommendations for Theory-Driven Mixed-Methods Survey Development and Validation
• References
• Author Index
• Subject Index