Health Measurement Scales
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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Topic
- Resilience and Mental Health
- Field
- Psychology
- Canadian institutions
- McMaster UniversityUniversity of Toronto
- Funders
- —
- Keywords
- Scale (ratio)Reliability (semiconductor)PsychologyConfirmatory factor analysisData scienceValidityApplied psychologySocial psychologyManagement scienceComputer sciencePsychometricsStatisticsClinical psychologyEngineeringMathematicsGeographyStructural equation modeling
- Has abstract in OpenAlex
- yes