How many subjects? : statistical power analysis in research

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Title:

Author:

Kraemer, Helena Chmura.

ISBN:

9780803929494

Personal Author:

Kraemer, Helena Chmura.

Publication Information:

Physical Description:

120 pages ; 23 cm

Contents:

Introduction -- General concepts -- The pivotal case: interclass correlation -- Equality of means: z- and t- tests, balanced ANOVA -- Correlation coefficients -- Linear regression -- Homogeneity of variance tests -- Binomial tests -- Contigency table analysys -- Conclusions.

Subject Term:

Research -- Statistical methods.

Statistical power analysis.

Recherche -- Méthodes statistiques.

Research Design.

Added Author:

Thiemann, Sue.

Electronic Access:

Table of contents http://catdir.loc.gov/catdir/enhancements/fy0654/87016575-t.html
Table of contents http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016073472&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Table of contents http://www.gbv.de/dms/bowker/toc/9780803929494.pdf
Publisher description http://catdir.loc.gov/catdir/enhancements/fy0654/87016575-d.html

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIEMSA	1:GEN-BOOK	33168025794559	001.422 K89H 1987	1	Searching... Unknown

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Summary

How Many Subjects? is a practical guide to sample size calculations and general principles of cost-effective research. It introduces a simple technique of statistical power analysis which allows researchers to compute approximate sample sizes and power for a wide variety of research designs. Because the same technique is used with only slight modifications for different statistical tests, researchers can easily compare the sample sizes required by different designs and tests to make cost-effective decisions in planning a study. These comparisons, emphasized throughout the book, demonstrate important principles of design, measurement and analysis that are rarely discussed in courses or textbooks.