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Determining Sample Size: Balancing Power, Precision, and Practicality (Pocket Guides to Social Work Research Methods) (Pocket Guide to Social Work Research Methods)
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A researcher's decision about the sample to draw in a study may have an enormous impact on the results, and it rests on numerous statistical and practical considerations that can be difficult to juggle. Computer programs help, but no single software package exists that allows researchers to determine sample size across all statistical procedures. This pocket guide shows social work students, educators, and researchers how to prevent some of the mistakes that would result from a wrong sample size decision by describing and critiquing four main approaches to determining sample size. In concise, example-rich chapters, Dattalo covers sample-size determination using power analysis, confidence intervals, computer-intensive strategies, and ethical or cost considerations, as well as techniques for advanced and emerging statistical strategies such as structural equation modeling, multilevel analysis, repeated measures MANOVA and repeated measures ANOVA. He also offers strategies for mitigating pressures to increase sample size when doing so may not be feasible. Whether as an introduction to the process for students or as a refresher for experienced researchers, this practical guide is a perfect overview of a crucial but often overlooked step in empirical social work research.
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Product details
Series: Pocket Guide to Social Work Research Methods
Paperback: 180 pages
Publisher: Oxford University Press, U.S.A.; 1 edition (January 11, 2008)
Language: English
ISBN-10: 0195315499
ISBN-13: 978-0195315493
Product Dimensions:
5.5 x 0.4 x 8.5 inches
Shipping Weight: 12.6 ounces (View shipping rates and policies)
Average Customer Review:
3.4 out of 5 stars
3 customer reviews
Amazon Best Sellers Rank:
#1,679,828 in Books (See Top 100 in Books)
Need to know how to do a power calculation for a reasonably common statistical analysis and don't know what software can do it? Get this book!The author begins by briefly talking about sampling strategies and effect sizes and other important issues in determining how many subjects you need for a study. Then he provides the general information on power and goes briefly into issues for power in various common statistical methods including: differences in means and proportions, odds ratios, chi-square tests, ANOVA-ANCOVA-MANOVA (with or without repeated measures), correlation, ordinary least squares regression, logistic regression, Cox regression and many more esoteric techniques (but be warned that Bayesian methods for sample size in clinical trials are not covered). This material is presented with very little algebra so if you want to study the math look elsewhere.Instead of the math, the author provides *excellent* references to how to do the analyses including free tools on the web, free tools provided by independents and the major software companies, shareware, as well as the expensive heavy hitter packages (SPSS, SAS, S-Plus, nQuery, etc.).There are worked examples with screen shots of the software, great notes and a awesome references. This books is superb for people who need something more than the back of an envelop guess and lays out the tools that a practicing statistician will frequently need.
Nice beginner text. Worked examples are especially helpful. The extensive use of free software allows sample size learning with minimal investment.
The books is very badly written and incoherent. It refers to equation numbers but the equations are not numbered. It seems that some parts of the sections are incomplete. Keeps referring to other books instead of briefly explaining the the subject. Overall I did not find the book a useful guide for determining sample size, as it claims to be.
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