Applied Power Analysis for the Behavioral Sciences is a practical guide to conducting statistical power analyses for students and researchers (including those with limited quantitative backgrounds) in psychology and related fields.
Applied Power Analysis for the Behavioral Sciences is a practical guide to conducting statistical power analyses for students and researchers (including those with limited quantitative backgrounds) in psychology and related fields.
Chris Aberson is Professor of Psychology at Humboldt State University. His research interests in in social psychology include prejudice, racism, and attitudes toward affirmative action. His quantitative interests focus on statistical power. He serves as Editor-in-Chief for Analyses of Social Issues and Public Policy.
Inhaltsangabe
1. What is Power? Why is Power Important? 2. Chi-Square and Tests for Proportions 3. Independent Samples and Paired t-tests 4. Correlations and Differences Between Correlations 5. Between Subjects ANOVA (One and Two Factors) 6. Within-Subjects Designs with ANOVA and Linear Mixed Models 7. Mixed Model ANOVA and Multivariate ANOVA 8. Multiple Regression 9. Analysis of Covariance, Moderated Regression, Logistic Regression, and Mediation 10. Precision Analysis for Confidence Intervals 11. Additional Issues and Resources
1. What is Power? Why is Power Important? 2. Chi-Square and Tests for Proportions 3. Independent Samples and Paired t-tests 4. Correlations and Differences Between Correlations 5. Between Subjects ANOVA (One and Two Factors) 6. Within-Subjects Designs with ANOVA and Linear Mixed Models 7. Mixed Model ANOVA and Multivariate ANOVA 8. Multiple Regression 9. Analysis of Covariance, Moderated Regression, Logistic Regression, and Mediation 10. Precision Analysis for Confidence Intervals 11. Additional Issues and Resources
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