Health Measurement Scales: A Practical Guide to Their Development and Use

Streiner, David L.

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Book Information
Edition:	5th
Publisher:	Oxford University Press, Incorporated
ISBN:	0-19-968521-5 (0199685215)
ISBN-13:	978-0-19-968521-9 (9780199685219)
New Edition:	0-19-286948-5
Old Edition:	0-19-923188-5
Binding:	Softcover
Copyright:	2015
Publish Date:	12/14
Weight:	1.34 Lbs.
Pages:	399
Carton Quantity:	22
Subject Class:	BIO (Biostatistics and Epidemiology)
Remarks:	A New Edition of this Title is Available
Doody Star Rating:	4
Return Policy:	Returns accepted up to 90 days provided no other recalls or return restrictions apply.
Table Of Contents:	View
Contributing Authors:	View
ProQuest Ebook Central:	Available in ProQuest Ebook Central™ View

Class Specifications
ISSN Series:	Oxford Medical Publications
Discipline:	Public Health
Subject Definition:	Epidemiologic Methods; Health Status Indicators
NLM Class:	WA 950
LC Class:	RA408.5
Abstract:	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 fifth edition of Health Measurement Scales enables these groups to both develop scales to measure non-tangible health outcomes, and better evaluate and differentiate between existing tools. Health Measurement Scales is the ultimate guide to developing and validating measurement scales that are to be used in the health sciences. The book 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, making this book a must-read for any practitioner dealing with this kind of data.

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