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ISBN 10: 1292000740
ISBN 13: 9781292000749
Author: Dennis Howitt, Duncan Cramer
Why Statistics?
Some Basics: Variability and Measurement
Describing Variables: Tables and Diagrams
Describing Variables Numerically: Averages, Variation and Spread
Shapes of Distributions of Scores
Standard Deviation and Z-Scores
Relationships Between Variables: Diagrams and Tables
Correlation Coefficients
Regression
Samples and Populations
Statistical Significance for the Correlation Coefficient
Standard Error
The t-Test: Related Scores
The t-Test: Unrelated Scores
Chi-Square
Probability
Reporting Significance Levels
One-Tailed vs Two-Tailed Testing
Ranking Tests: Nonparametric Statistics
The Variance Ratio Test
One-Way ANOVA (Unrelated Scores)
ANOVA for Repeated Measures
Two-Way ANOVA (Unrelated Scores)
Multiple Comparisons in ANOVA
Mixed-Design ANOVA
ANCOVA
MANOVA
Discriminant Analysis
Statistics and Experimental Analysis
Partial Correlation
Factor Analysis
Multiple Regression
Path Analysis
Questionnaire/Survey Analysis
Effect Size
Meta-Analysis
Reliability in Scales and Measurement
Confidence Intervals
Moderator Variables
Statistical Power Analysis
Log-Linear Methods
Multinomial Logistic Regression
Binomial Logistic Regression
Appendix A: Testing for Skewness
Appendix B1: Nonparametric Tests (Large Samples)
Appendix B2: Nonparametric Tests (Three or More Groups)
Appendix C: Pearson Correlation Table
Appendix D: Spearman Correlation Table
Appendix E: t-Test Table
Appendix F: Chi-Square Table
Appendix G: Sign Test Table
Appendix H: Wilcoxon Test Table
Appendix I: Mann-Whitney U-Test Table
Appendix J: F-Distribution Table
Appendix K: Multiple t-Tests Table
Glossary
References
Index
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Tags: Dennis Howitt, Duncan Cramer, Statistics
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