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Myers J.L., Well A.D. Research Design and Statistical Analysis

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Myers J.L., Well A.D. Research Design and Statistical Analysis
Lawrence Erlbaum Associates, 2003. — 781 p. — ISBN: 0-8058-4037-0.
Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The book’s goal is to provide a strong conceptual foundation to enable readers to generalize concepts to new research situations. Emphasis is placed on the underlying logic and assumptions of the analysis and what it tells the researcher, the limitations of the analysis, and the consequences of violating assumptions. Sampling, design efficiency, and statistical models are emphasized throughout. As per APA recommendations, emphasis is also placed on data exploration, effect size measures, confidence intervals, and using power analyses to determine sample size. "Real-world" data sets are used to illustrate data exploration, analysis, and interpretation. The book offers a rare blend of the underlying statistical assumptions, the consequences of their violations, and practical advice on dealing with them.
Looking at Data: Univariate Distributions
Looking at Data: Relations between Quantitative Variables
Probability and the Binomial Distribution
Estimation and Hypothesis Tests: The Normal Distribution
Estimation, Hypothesis Tests, and Effect Size: The t Distribution
The Chi-Square and F Distributions
Between-Subjects Designs: One Factor
Contrasts among Means
Trend Analysis
Multifactor Between-Subjects Designs: Significance Tests in The Two-Way Case
Multifactor Between-Subjects Designs: Further Developments
Repeatad-Measures Designs
Mixed Designs: Between-Subjects and Within-Subjects Factors
Using Concomitant Variables to Increase Power: Blocking and Analysis of Covariance
Hierarchical Designs
Latin Squares and Related Designs
More about Correlation
More about Bivariate Regression
Multiple Regression
Regression with Categorical and Quantitative Variables: The General Linear Model
Appendix A. Notation and Summation Operations
Appendix B. Expected Values and Their Applications
Appendix C. Statistical Tables
Answers to Selected Exercises
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