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· 2014· Book chapter

Health Measurement Scales

David L. Streiner, Geoffrey R. Norman, John Cairney

Short summary

This book provides a comprehensive guide to developing and validating health measurement scales, covering item development, response biases, item selection, scale construction, and reliability/validity testing.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Covers development of individual items for health measurement scales.
  • Discusses various response biases affecting data quality.
  • Explains methods for selecting items and constructing scales.
  • Details procedures for determining scale reliability and validity.
  • Includes guidance on ethical issues and reporting results.

AI-generated from the title and abstract; the full text is not read.

Abstract

Abstract Health Measurement Scales is the ultimate online guide to developing and validating measurement scales that are to be used in the health sciences. It covers how the individual items are developed; various biases that can affect responses (e.g. social desirability, yea-saying, framing); various response options; how to select the best items in the set; how to combine them into a scale; and finally how to determine the reliability and validity of the scale. It concludes with a discussion of ethical issues that may be encountered, and guidelines for reporting the results of the scale development process. Appendices include a comprehensive guide to finding existing scales, and a brief introduction to exploratory and confirmatory factor analysis.

The authors' abstract, as published at the source., 2014 · DOI ↗

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Field: Clinical Psychology

Clinical PsychologyPsychology