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Cited by 2,564Psychometric Methodologies and TestingHealth Education and ValidationSurvey Methodology and Nonresponse

The DOI matches its Crossref record.

Health Measurement Scales: A practical guide to their development and use

Streiner, David L., Norman, Geoffrey R., Cairney, John·2014
DOI 10.1093/med/9780199685219.001.0001
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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.

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Metadata

Authors
Streiner, D. L., Norman, G. R., & Cairney, J.
Affiliations
  • University of Toronto (CA)
  • McMaster University (CA)
ORCID
Publisher
Oxford University PressOxford
Published
2014-11
DOI
10.1093/med/9780199685219.001.0001
OpenAlex
W2480133395
Cited by
2,564
References
0
Citations by year
2026: 146 · 2025: 232 · 2024: 302 · 2023: 264 · 2022: 280 · 2021: 296 · 2020: 235 · 2019: 176 · 2018: 117 · 2017: 88 · 2016: 58 · 2015: 24 · 2014: 7
FWCI
32.49
Type
book
Language
en
Open access
closed
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Health Sciences › Nursing › Research and Theory › Health Education and Validation
  • Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
Keywords
scale development, scale validation, health measurement, item development, response bias, social desirability bias, framing effects, response options, item selection, reliability statistics, validity, research ethics, factor analysis

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