Statistical power analysis for the behavioral sciences
Cohen, Jacob
Statistical power analysis for the behavioral sciences Statistical power analysis for the behavioural sciences - 2nd ed. - Hillsdale, N.J. ; Hove : Erlbaum Associates, 1988. - xxi, 567 p. : tables ; 24 cm.
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.
0805802835
Social sciences
Statistics
Research methods
WA 950.
Statistical power analysis for the behavioral sciences Statistical power analysis for the behavioural sciences - 2nd ed. - Hillsdale, N.J. ; Hove : Erlbaum Associates, 1988. - xxi, 567 p. : tables ; 24 cm.
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.
0805802835
Social sciences
Statistics
Research methods
WA 950.