ABSTRACT

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.

part A|143 pages

Theory and Methodology

chapter 1|24 pages

Survey Research

chapter 2|17 pages

Theory and Validity

chapter 3|12 pages

Mixed Methods

chapter 4|18 pages

Measurement Theory

chapter 5|42 pages

Theories of Response and Error

chapter 6|28 pages

Participant Sampling

part B|150 pages

Survey Construction

chapter 7|46 pages

Survey Development Framework

chapter 8|27 pages

Writing Items

chapter 9|19 pages

Constructing Response Scales

chapter 10|17 pages

Qualitative Survey Item Review

chapter 11|39 pages

Quantitative Survey Item Review

part C|42 pages

Assessing Psychometric Properties

chapter 12|16 pages

Assessing Reliability

chapter 13|24 pages

Assessing Validity

part D|33 pages

Recommendations for Theory-Driven Mixed-Methods Survey Development and Validation

chapter 14|31 pages

Synopsis