Informative Hypotheses —— Theory and Practice for Behavioral and Social Scientists

----- 告知性假设

ISBN: 9781439880517 出版年:2011 页码:240 Hoijtink, Herbert CRC Press

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内容简介

INTRODUCTION An Introduction to Informative Hypotheses Introduction Analysis of Variance Analysis of Covariance . Multiple Regression Epistemology and Overview of the Book Appendix A: Effect Size Determination for Multiple Regression The Multivariate Normal Linear Model Introduction The Multivariate Normal Linear Model Multivariate One Sided Testing Multivariate Treatment Evaluation Multivariate Regression Repeated Measures Analysis Other Options Appendix A: Example Data for Multivariate Regression BAYESIAN EVALUATION OF INFORMATIVE HYPOTHESES An Introduction to Bayesian Evaluation of Informative Hypotheses Introduction . Density of the Data, Prior and Posterior . Bayesian Evaluation of Informative Hypotheses Specifying the Parameters of Prior Distributions Discussion . Appendix A: Density of the Data, Prior and Posterior Distribution Appendix B: Derivation of the Bayes Factor and Prior Sensitivity . Appendix C: Using BIEMS for a two group ANOVA The J Group ANOVA Model Introduction Simple Constraints One Informative Hypothesis Constraints on Combinations of Means . Ordered Means with Effect Sizes About Equality Constraints Discussion Sample Size Determination: AN(C)OVA and Multiple Regression Introduction Sample Size Determination ANOVA: Comparison of an Informative with the Null Hypothesis ANOVA: Comparison of an Informative Hypothesis with its Complement ANCOVA Signed Regression Coecients: Informative versus Null Hypothesis Signed Regression Coecients: Informative Hypothesis versus Complement Signed Regression Coecients: Including Effect Sizes Comparing Regression Coecients Discussion . Appendix A: Bayes Factors for Parameters on the Boundary of H1 and H1c Appendix B: Command Files for GenMVLData Sample Size Determination: The Multivariate Normal Linear Model Introduction Sample Size Determination: Error Probabilities Multivariate One Sided Testing Multivariate Treatment Evaluation Multivariate Regression . Repeated Measures Analysis Discussion . Appendix A: GenMVLData and BIEMS: Multivariate One Sided Testing Appendix B: GenMVLData and BIEMS: Multivariate Treatment Evaluation Appendix C: GenMVLData and BIEMS: Multivariate Regression Appendix D: GenMVLData and BIEMS: Repeated Measures Analysis OTHER MODELS, OTHER APPROACHES AND SOFTWARE Beyond the Multivariate Normal Linear Model Introduction Contingency Tables Multilevel Models Latent Class Analysis A General Frame Work Appendices: Sampling Using Winbugs Other Approaches Introduction Resume: Bayesian Evaluation of Informative Hypotheses Null Hypothesis Signi cance Testing The Order Restricted Information Criterion Discussion Appendix A: Data and Command File for Confirmatory ANOVA Software Introduction Software Packages New Developments STATISTICAL FOUNDATIONS Foundations of Bayesian Evaluation of Informative Hypotheses Introduction The Bayes Factor The Prior Distribution The Posterior Distribution Estimation of the Bayes Factor Discussion Appendix A: Density of the Data of Various Statistical Models Appendix B: Unconstrained Prior Distributions Used in Book and Software Appendix C: Probability Distributions Used in Appendices A and B References Index

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