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Statistical power analysis for the behavioral sciences

By: Publication details: Hillsdale, N.J. ; Hove : Erlbaum Associates, 1988.Edition: 2nd edDescription: xxi, 567 p. : tables ; 24 cmISBN:
  • 0805802835
Other title:
  • Statistical power analysis for the behavioural sciences
Subject(s): NLM classification:
  • WA 950.
Contents:
ch. 1. The concepts of power analysis -- ch. 2. The t test for means -- ch. 3. The significance of a product moment r[subscript s] -- ch. 4. Differences between correlation coefficients -- ch. 5. The test that a proportion is.50 and the sign test -- ch. 6. Differences between proportions -- ch. 7. Chi-square tests for goodness of fit and contingency tables -- ch. 8. The analysis of variance and covariance -- ch. 9. Multiple regression and correlation analysis -- ch. 10. Set correlation and multivariate methods -- ch. 11. Some issues in power analysis -- ch. 12. Computational procedures.
Summary: Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of ""qualifying"" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.
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Book South London and Maudsley Trust Library Shelves WX 20.5 COH (Browse shelf(Opens below)) Available 024193

Includes bibliography and index.

ch. 1. The concepts of power analysis -- ch. 2. The t test for means -- ch. 3. The significance of a product moment r[subscript s] -- ch. 4. Differences between correlation coefficients -- ch. 5. The test that a proportion is.50 and the sign test -- ch. 6. Differences between proportions -- ch. 7. Chi-square tests for goodness of fit and contingency tables -- ch. 8. The analysis of variance and covariance -- ch. 9. Multiple regression and correlation analysis -- ch. 10. Set correlation and multivariate methods -- ch. 11. Some issues in power analysis -- ch. 12. Computational procedures.

Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of ""qualifying"" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.

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