Health measurement scales: a practical guide to their development and use
The second edition of the only practical guide for clinicians developing tools to measure subjective states, attitudes, and other 'non-tangible' outcomes in their patients has been thoroughly revised to incorporate all the latest research results. New to this edition are a chapter on ethics and a discussion of reliability and generalizability theory. The authors offer an overview of both the theory and the practical applications of health measurement scales, and offer the reader a methodical, step-by-step guidance to the development of their own scales. These features combine to provide the most up-to-date guide to measurement scale development available. Written in a concise and intelligible style, it enables both experienced researchers and novices to develop accurate, sensitive and easy-to-use measurement scales of their own. This is an essential book for anyone who uses or would like to use rating scales in their clinical practice.
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Devising the items
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analysis ANOVA answer approach areas asked assessment average behaviour bias calculated cent change scores Chapter clinical concept concurrent validity construct validity content validity correlation criterion criterion validity Cronbach curve depression differentiate discriminate discussed disorder error variance estimate evaluation examination example factors generalizability theory goal Guttman scaling indicate individual instrument interaction interval interviewer item response theory Journal judgement Likert scale lunar phase mean square measure ment methods normal number of items observers patients percentile person positive post-test pre-test problem Psychological psychometric question questionnaire random range Rasch model raters rating scales reliability coefficient response sample scale development simply situation social desirability sources of error specific standard deviation standard gamble standardized scores statistical Streiner subjects symptoms Table tapping technique telephone tion total score trait treatment effects true usually variables variance due weights z-score