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

David L Streiner , Geoffrey R Norman
4.3 out of 5 stars  See all reviews (3 customer reviews)
RRP: 31.99
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Book Description

4 Sep 2008 0199231885 978-0199231881 4
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.

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Health Measurement Scales: A practical guide to their development and use + Measurement in Medicine: A Practical Guide (Practical Guides to Biostatistics and Epidemiology)
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Product details

  • Paperback: 452 pages
  • Publisher: OUP Oxford; 4 edition (4 Sep 2008)
  • Language: English
  • ISBN-10: 0199231885
  • ISBN-13: 978-0199231881
  • Product Dimensions: 6.1 x 9.2 x 0.8 cm
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Bestsellers Rank: 390,799 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Review

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)

About the Author

David Streiner attended the City College of New York, and then did his graduate work in clinical psychology at Syracuse University. In 1968, he joined the newly-formed Department of Psychiatry at McMaster University, and became the Chief Psychologist at the McMaster University Medical Centre. In 1980, he also became a member of the Department of Clinical Epidemiology and Biostatistics at McMaster, and was the Deputy Chair of CE&B for two years. He was one of the founding editors of Evidence-based Mental Health, and is currently editor of the Statistical Developments and Applications section of the Journal of Personality Assessment, as well as being on the editorial board of numerous other journals. Geoff Norman attended the University of Manitoba as an undergraduate, graduating with an honours degree in physics in 1965. He did graduate work in nuclear physics, obtaining a PhD in 1970. At that point he began a career in health sciences education, and subsequently obtained an M.A. in educational psychology from Michigan State University in 1977. He joined the faculty at McMaster in 1977, and has remained at McMaster for the next three decades. He has won numerous awards in medical education, including the Hubbard Award of the National Board of Medical Examiners (US), and lifetime achievement awards from the Medical Council of Canada and the American Educational Research Association, among others. In 2001, he was awarded a Canada Research Chair. In 2007, he was elected to the Royal Society of Canada. He has published over 200 papers in education, epidemiology, psychiatry and physics, as well as authoring and editing several books.

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Most Helpful Customer Reviews
8 of 8 people found the following review helpful
By A Customer
Format:Paperback
Streiner and Norman have written a book which is both practical and comprehensive simultaneously. As a teaching aid it is invaluable. As a reference work it appears to cover all aspects in a language which is comprehensible by statisticians and the medics they are working with. As a practical guide the book walks you through the process of scale development, pointing out the pitfalls with accuracy, yet giving confidence that the procedure is actually do-able. For anyone working in the field, or about to start, I recommend it. For anyone, like me, who left their copy on another continent and cannot live without it, Amazon's price is a good deal!
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2 of 2 people found the following review helpful
4.0 out of 5 stars Of limited use to non psychometricians 25 May 2010
Format:Paperback
Don't get me wrong: I liked the book with its clear language and advice. I do feel however, that the title Health Measurement Scales suggests a broader perspective than psychometrics. Many epidemiologists and econometricians are working in the same field, but their concepts and contributions were given little attention. As a consequence the difference between reliability and validity will feel awkward for epidemiologists and the introduction of differential item functioning (response heterogeneity) is very elementary to econometricians. I do think however that the book is very suitable for inexperienced psychometricians.
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4.0 out of 5 stars The book is fantastitic 29 Oct 2013
Format:Paperback|Verified Purchase
The book is written in a simple way for the reader. It is easy to follow.
it is also discussing all the important issues with depth
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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 5.0 out of 5 stars  6 reviews
6 of 6 people found the following review helpful
5.0 out of 5 stars very nice book, excellent practical advice 14 Feb 2008
By JVerkuilen - Published on Amazon.com
Format:Paperback|Verified Purchase
I really like this book and wish that I'd found out about it before my psychometrics class in the spring started, because I would have assigned it in a heartbeat. It's got a lot of the kind of practical advice that anyone thinking of creating a scale REALLY needs to hear first, including the #1 bit of advice: Should you make one yourself? For instance, excellent summaries of the work on scale usage biases by Jon Krosnick, Norbert Schwartz, etc., give useful cautionary information for scale constructors. I have a few disagreements---some of the advice about procedures such as some of the scaling methods they mention is out of date, for instance, and the chapters on factor analysis and IRT are a bit weak, but I can cover that with other material. It certainly doesn't detract from the value of the book overall and I've learned a bunch I didn't know reading it. It'll be on the syllabus next time!
4 of 5 people found the following review helpful
5.0 out of 5 stars Simple .......but yet comprehensive 25 Jun 2001
By A Customer - Published on Amazon.com
Format:Paperback
This is undoubtedly, one of the best books I have read in this area. The authors follow an appropriate sequence in terms of addressing scale development, testing and analyses issues. The best thing about the book is that it is really easy to comprehend and covers all the important areas. I feel it is a "must buy" for professionals in the area of health-related quality of life and outcomes research.
1 of 1 people found the following review helpful
5.0 out of 5 stars Useful new perspective 27 Dec 2010
By EVK - Published on Amazon.com
Format:Paperback|Verified Purchase
The book is extremely well written by people that know their field. For people interested in psychometry it gives a new perspective applying psychometrics in the health sciences. I found many applications and suggestions that were very useful.
5.0 out of 5 stars Superb writing (especially on reliability) 12 Mar 2014
By I Teach Typing - Published on Amazon.com
Format:Paperback|Verified Purchase
As others have said, this is a beautifully written book that is full of practical advice on developing an new health scale/instrument but beyond that advice this has wonderful chapters on statistics. It has the most readable chapter on reliability I have seen (and also good coverage of generality theory and item response theory). In addition to lucid prose, the references are perfect for people who know only a little statistics (or even if you know a lot outside of this area). For example, the concepts of statistical reliability are explained and then popular options including Pearson correlation, kappa, Intra-class correlation (ICC) and Bland Altman methods are each is given a page or two. So, if you are struggling with what method to use to assess reliability start here and then hit the references that they suggest (Weir 2005 for this example). Basically this is the first book a clinical investigator should pick up if they want to develop an instrument/scale.
5.0 out of 5 stars Comprehensive Guide 15 Dec 2013
By Judith E. Elster - Published on Amazon.com
Format:Paperback|Verified Purchase
A really good source book for measurement of health. Comprehensive guide to provide a researcher with tools to measure reliability and validity of their measuring instrument.
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