Statistical Concepts: A Second Course presents the advanced chapters from An Introduction to Statistical Concepts, 4th Edition, designed for second and upper level statistics courses.
Statistical Concepts: A Second Course presents the advanced chapters from An Introduction to Statistical Concepts, 4th Edition, designed for second and upper level statistics courses.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Debbie L. Hahs-Vaughn is Professor of Methodology, Measurement, and Analysis at the University of Central Florida, US. Her research primarily relates to methodological issues when analyzing, and applied research using, complex sample data. Richard G. Lomax is Professor Emeritus of Educational and Human Ecology at The Ohio State University, US, and former Associate Dean for Research and Administration. His research primarily focuses on early literacy and statistics.
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Preface Acknowledgements 1. ONE-FACTOR ANALYSIS OF VARIANCE - FIXED-EFFECTS MODEL 2. MULTIPLE COMPARISON PROCEDURES 3. FACTORIAL ANALYSIS OF VARIANCE - FIXED-EFFECTS MODEL 4. INTRODUCTION TO ANALYSIS OF COVARIANCE: THE ONE-FACTOR FIXED-EFFECTS MODEL WITH A SINGLE COVARIATE 5. RANDOM- AND MIXED-EFFECTS ANALYSIS OF VARIANCE MODELS 6. HIERARCHICAL AND RANDOMIZED BLOCK ANALYSIS OF VARIANCE MODELS 7. SIMPLE LINEAR REGRESSION 8. MULTIPLE LINEAR REGRESSION 9. LOGISTIC REGRESSION 10. MEDIATION AND MODERATION Appendix: Tables
Preface Acknowledgements 1. ONE-FACTOR ANALYSIS OF VARIANCE - FIXED-EFFECTS MODEL 2. MULTIPLE COMPARISON PROCEDURES 3. FACTORIAL ANALYSIS OF VARIANCE - FIXED-EFFECTS MODEL 4. INTRODUCTION TO ANALYSIS OF COVARIANCE: THE ONE-FACTOR FIXED-EFFECTS MODEL WITH A SINGLE COVARIATE 5. RANDOM- AND MIXED-EFFECTS ANALYSIS OF VARIANCE MODELS 6. HIERARCHICAL AND RANDOMIZED BLOCK ANALYSIS OF VARIANCE MODELS 7. SIMPLE LINEAR REGRESSION 8. MULTIPLE LINEAR REGRESSION 9. LOGISTIC REGRESSION 10. MEDIATION AND MODERATION Appendix: Tables
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