This is the new edition of the highly successful practical guide for clinicians developing tools to measure subjective states, attitudes or non-tangible outcomes in their patients. It is widely used by people from many disciplines, who have only a limited knowledge of statistics. This thoroughly updated edition of "Health Measurement Scales, Third Edition" gives more details on cognitive requirements in answering questions, and how this influences scale development. There is now an expanded discussion of generalizability theory, a completely revised chapter on Item Response Theory and many revisions are included, based on the latest research findings. These features combine to provide the most up-to-date guide to measuring scale development available. It synthesizes the theory of scale construction with practical advice, culled from the literature and the authors' experience, about how to develop and validate measurement scales to be used in the health sciences. The theory goes into issues of reliability, generalizability theory, validity, the measurement of change, the cognitive requirements of answering questions, and item response theory. Practical issues cover devising the items, biases that may affect the responses, pre-testing and weeding out poorly performing items, combining items into scales, setting cut points, and the practical issues of using scales in various ways, such as face-to-face interviews; mailed or telephone-administered surveys; and over the Internet. One chapter also discusses some of the ethical issues that scale developers and users should be aware of. Appendices lead the reader to other readings; sources of already developed scales and items; and a very brief introduction to exploratory and confirmatory factor analysis.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Clinicians and those in health sciences are frequently called upon to measure subjective states such as attitudes, feelings, quality of life, educational achievement and aptitude, and learning style in their patients. This fourth edition of Health Measurement Scales enables these groups, who often have limited knowledge of statistics, to both develop scales to measure non-tangible health outcomes, and better evaluate and differentiate between existing tools. It covers how the individual items are developed; various biases that can affect responses (eg 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 then 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. It synthesizes the theory of scale construction with practical advice, making it the ultimate guide to how to develop and validate measurement scales that are to be used in the health sciences.
This book is a useful resource that should have a fairly broad appeal for researchers needing to develop new measurement scales, researchers who need to critically appraise literature concerned with measurement tools, and anyone interested in an accessible overview of important measurement issues and methods. (The Canadian Journal of Psychiatry)
The text is well laid out with chapters covering basic concepts, devising the items, scaling responses, methods of administration and ethical considerations being easy to read. (Occupational Medicine)
This is a book that can be used as a key reference book by those who wish to study qualitative change in health status by the use of scales. (Occupational Medicine)
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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