Grant B. Morgan – författare

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.

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.

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.

Bridging the science of measurement and the practice of applied behavior analysis (ABA), this is the first comprehensive guide to reliability, validity, and evidence-centered design within a behavior-analytic framework. Students and ABA practitioners will benefit from the text's real-world case studies and clear connections to the Behavior Analyst Certification Board's BCBA Task List. Readers learn not only how to select, use, and interpret function- and skill-based behavioral assessments, but also how to critically evaluate their quality and appropriateness using contemporary measurement theory. Facilitating ethical, data-driven decision making across clinical, educational, and research settings, the text includes chapter-opening objectives, end-of-chapter reflection and discussion questions, and a glossary.