Herbert Hoijtink

Informative Hypotheses (eBook, PDF)

Theory and Practice for Behavioral and Social Scientists

• Format: PDF

Produktbeschreibung

This detailed book discusses the evaluation of behavioral and social science hypotheses that are more informative than traditional null and alternative hypotheses. Requiring a minimal prerequisite knowledge of multivariate statistics, such as regression and ANOVA, it provides relevant information for those doing active research in the social and behavioral sciences. Informative Hypotheses: Theory and Practice for Behavioral and Social Scientists considers Bayesian and classical approaches and pays considerable attention to sample size determination. Software is available for all functions discussed in the book.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 241
• Erscheinungstermin: 26. Oktober 2011
• Englisch
• ISBN-13: 9781439880524
• Artikelnr.: 38299649

Autorenporträt

Since 2003, Herbert Hoijtink has been Professor of Applied Bayesian Statistics at Utrecht University. He works in the Faculty of Social Sciences where he does research, teaches and provides statistical advice to behavioral (US spelling)and social scientists. In 2005, he received the prestigious VICI grant from the Netherlands Organisation for Scientific Research. This grant enabled him to establish a research group with the purpose to develop the statistical theory and corresponding software such that behavioral and social scientists will be able to evaluate informative hypotheses. The achievements of this group are presented in this book. Further information about the author can be found at http://tinyurl.com/hoijtink.

Inhaltsangabe

INTRODUCTION. An Introduction to Informative Hypotheses. The Multivariate
Normal Linear Model. BAYESIAN EVALUATION OF INFORMATIVE HYPOTHESES. An
Introduction to Bayesian Evaluation of Informative Hypotheses. The J Group
ANOVA Model. Sample Size Determination: AN(C)OVA and Multiple Regression.
Sample Size Determination: The Multivariate Normal Linear Model. OTHER
MODELS, OTHER APPROACHES AND SOFTWARE. Beyond the Multivariate Normal
Linear Model. Other Approaches. Software. STATISTICAL FOUNDATIONS.
Foundations of Bayesian Evaluation of Informative Hypotheses. References.
Index.