Synthesizing the literature from the survey and measurement fields, this
book explains how to develop closed-response survey scales that will
accurately capture such constructs as attitudes, beliefs, or behaviors.
It provides guidelines to help applied researchers or graduate students
review existing scales for possible adoption or adaptation in a study;
create their own conceptual framework for a scale; write checklists,
true-false variations, and Likert-style items; design response scales;
examine validity and reliability; conduct a factor analysis; and
document the instrument development and its technical quality. Advice is
given on constructing tables and graphs to report survey scale results.
Concepts and procedures are illustrated with "Not This/But This"
examples from multiple disciplines.
User-Friendly Features
*End-of-chapter exercises with sample solutions, plus annotated
suggestions for further reading.
*"Not This/But This" examples of poorly written and strong survey
items.
*Chapter-opening overviews and within-chapter summaries.
*Glossary of key concepts.
*Appendix with examples of parametric and nonparametric procedures for
group comparisons.