Includes bibliographical references and index.

Frontmatter -- Basic Experimental Design and Analysis. Review of Basic Statistical Methods -- Review of Simple Correlated Samples Designs and Associated Analyses -- ANOVA Basics for One-Factor Randomized Group, Randomized Block, and Repeated Measurement Designs -- Essentials of Regression Analysis. Simple Linear Regression -- Essentials of Multiple Linear Regression -- Essentials of Simple and Multiple ANCOVA. One-Factor Analysis of Covariance -- Analysis of Covariance through Linear Regression -- Assumptions and Design Considerations -- Multiple Comparison Tests and Confidence Intervals -- Multiple Covariance Analysis -- Alternatives for Assumption Departures. Johnson₆Neyman and Picked-Points Solutions for Heterogeneous Regression -- Nonlinear ANCOVA -- Quasi-ANCOVA: When Treatments Affect Covariates -- Robust ANCOVA/Robust Picked Points -- ANCOVA for Dichotomous Dependent Variables -- Designs with Ordered Treatments and No Covariates -- ANCOVA for Ordered Treatments Designs -- Single-Case Designs. Simple Interrupted Time-Series Designs -- Examples of Single-Case AB Analysis -- Analysis of Single-Case Reversal Designs -- Analysis of Multiple-Baseline Designs -- ANCOVA Extensions. Power Estimation -- ANCOVA for Randomized-Block Designs -- Two-Factor Designs -- Randomized Pretest₆Posttest Designs -- Multiple Dependent Variables -- Quasi-Experiments and Misconceptions. Nonrandomized Studies: Measurement Error Correction -- Design and Analysis of Observational Studies -- Common ANCOVA Misconceptions -- Uncontrolled Clinical Trials -- Appendix: Statistical Tables -- References -- Index -- Wiley Series in Probability and Statistics.

A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods The Second Edition of Analysis of Covariance and Alternatives sheds new light on its topic, offering in-depth discussions of underlying assumptions, comprehensive interpretations of results, and comparisons of distinct approaches. The book has been extensively revised and updated to feature an in-depth review of prerequisites and the latest developments in the field. The author begins with a discussion of essential topics relating to experimental design and analysis, including analysis of.

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