Synopsis
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.
About the Author
Robert L. Johnson, PhD, is Professor in the Department of Educational Studies at the University of South Carolina. His research focuses on the ethics of classroom assessment practices and the scoring of performance assessments in the language arts and the visual and performing arts. He also writes about the teaching of program evaluation and involvement of stakeholders in evaluations. Dr. Johnson's research has been published in such journals as Applied Measurement in Education, Language Assessment Quarterly, Assessing Writing, Teaching and Teacher Education, Assessment and Evaluation in Higher Education, and the American Journal of Evaluation. He teaches courses related to educational research, assessment, survey methodology, and program evaluation.
Grant B. Morgan, PhD, is Associate Professor in the Department of Educational Psychology at Baylor University. His primary methodological research focuses on latent variable models, classification, and psychometrics. His research has been published in such journals as Structural Equation Modeling,Computational Statistics and Data Analysis, Psychological Assessment, School Psychology Quarterly, Language Assessment Quarterly, and Quality and Quantity. Dr. Morgan has evaluation experience at the local, state, and federal levels, and has extensive experience developing and using survey scales. He teaches graduate-level courses covering latent variable models, item response theory, psychometric theory, measurement and evaluation, experimental design, and research methods.
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