Description

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.

Survey Scales: A Guide to Development, Analysis, and Reporting

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£40.99

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Paperback / softback by Robert L. Johnson , Grant B. Morgan

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Short Description:

Synthesizing the literature from the survey and measurement fields, this book explains how to develop closed-response survey scales that will... Read more

    Publisher: Guilford Publications
    Publication Date: 09/08/2016
    ISBN13: 9781462526963, 978-1462526963
    ISBN10: 1462526969

    Number of Pages: 269

    Non Fiction , Politics, Philosophy & Society

    Description

    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.

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