05524nam 2200721Ia 450 991081778490332120200520144314.0978661333209797812833320951283332094978111806747511180674799781118067468111806746097811180674511118067452(CKB)2550000000063668(EBL)697684(SSID)ssj0000554353(PQKBManifestationID)11355250(PQKBTitleCode)TC0000554353(PQKBWorkID)10512523(PQKB)10988481(MiAaPQ)EBC697684(OCoLC)761321869(Perlego)1014512(EXLCZ)99255000000006366820110126d2011 uy 0engurcnu||||||||txtccrAnalysis of covariance and alternatives statistical methods for experiments, quasi-experiments, and single-case studies /Bradley Huitema2nd ed.Hoboken, N.J. Wileyc20111 online resource (690 p.)Wiley series in pobability and statisticsDescription based upon print version of record.9780471748960 047174896X Includes bibliographical references and index.The Analysis of Covariance and Alternatives; Contents; Preface; PART I BASIC EXPERIMENTAL DESIGN AND ANALYSIS; 1 Review of Basic Statistical Methods; 1.1 Introduction; 1.2 Elementary Statistical Inference; 1.3 Elementary Statistical Decision Theory; 1.4 Effect Size; 1.5 Measures of Association; 1.6 A Practical Alternative to Effect Sizes and Measures of Association That Is Relevant to the Individual: p(YTx > YControl); 1.7 Generalization of Results; 1.8 Control of Nuisance Variation; 1.9 Software; 1.10 Summary; 2 Review of Simple Correlated Samples Designs and Associated Analyses2.1 Introduction 2.2 Two-Level Correlated Samples Designs; 2.3 Software; 2.4 Summary; 3 ANOVA Basics for One-Factor Randomized Group, Randomized Block, and Repeated Measurement Designs; 3.1 Introduction; 3.2 One-Factor Randomized Group Design and Analysis; 3.3 One-Factor Randomized Block Design and Analysis; 3.4 One-Factor Repeated Measurement Design and Analysis; 3.5 Summary; PART II ESSENTIALS OF REGRESSION ANALYSIS; 4 Simple Linear Regression; 4.1 Introduction; 4.2 Comparison of Simple Regression and ANOVA; 4.3 Regression Estimation, Inference, and Interpretation4.4 Diagnostic Methods: Is the Model Apt?4.5 Summary; 5 Essentials of Multiple Linear Regression; 5.1 Introduction; 5.2 Multiple Regression: Two-Predictor Case; 5.3 General Multiple Linear Regression: m Predictors; 5.4 Alternatives to OLS Regression; 5.5 Summary; PART III ESSENTIALS OF SIMPLE AND MULTIPLE ANCOVA; 6 One-Factor Analysis of Covariance; 6.1 Introduction; 6.2 Analysis of Covariance Model; 6.3 Computation and Rationale; 6.4 Adjusted Means; 6.5 ANCOVA Example 1: Training Effects; 6.6 Testing Homogeneity of Regression Slopes; 6.7 ANCOVA Example 2: Sexual Activity Reduces Lifespan6.8 Software 6.9 Summary; 7 Analysis of Covariance Through Linear Regression; 7.1 Introduction; 7.2 Simple Analysis of Variance Through Linear Regression; 7.3 Analysis of Covariance Through Linear Regression; 7.4 Computation of Adjusted Means; 7.5 Similarity of ANCOVA to Part and Partial Correlation Methods; 7.6 Homogeneity of Regression Test Through General Linear Regression; 7.7 Summary; 8 Assumptions and Design Considerations; 8.1 Introduction; 8.2 Statistical Assumptions; 8.3 Design and Data Issues Related to the Interpretation of ANCOVA; 8.4 Summary9 Multiple Comparison Tests and Confidence Intervals 9.1 Introduction; 9.2 Overview of Four Multiple Comparison Procedures; 9.3 Tests on All Pairwise Comparisons: Fisher-Hayter; 9.4 All Pairwise Simultaneous Confidence Intervals and Tests: Tukey-Kramer; 9.5 Planned Pairwise and Complex Comparisons: Bonferroni; 9.7 Ignore Multiple Comparison Procedures?; 9.8 Summary; 10 Multiple Covariance Analysis; 10.1 Introduction; 10.2 Multiple ANCOVA Through Multiple Regression; 10.3 Testing Homogeneity of Regression Planes; 10.4 Computation of Adjusted Means10.5 Multiple Comparison Procedures for Multiple ANCOVAA 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 analysisWiley Series in Probability and StatisticsAnalysis of covarianceRegression analysisAnalysis of covariance.Regression analysis.519.5/38Huitema Bradley E.1938-102857MiAaPQMiAaPQMiAaPQBOOK9910817784903321Analysis of covariance and alternatives439009UNINA