Buch, Englisch, 782 Seiten, Format (B × H): 261 mm x 184 mm, Gewicht: 1612 g
Buch, Englisch, 782 Seiten, Format (B × H): 261 mm x 184 mm, Gewicht: 1612 g
ISBN: 978-0-367-20404-4
Verlag: Taylor & Francis Ltd
In this new edition, Hahs-Vaughn and Lomax discuss sensitivity, specificity, false positive and false negative errors. Coverage of effect sizes has been expanded upon and more organizational features (to summarize key concepts) have been included. A final chapter on mediation and moderation has been added for a more complete presentation of regression models. In addition to instructions and screen shots for using SPSS, new to this edition is annotated script for using R.
This book acts as a clear and accessible instructional tool to help readers fully understand statistical concepts and how to apply them to data. It is an invaluable resource for students undertaking a course in statistics in any number of social science and behavioral science disciplines.
Autoren/Hrsg.
Fachgebiete
- Sozialwissenschaften Pädagogik Pädagogik Bildungswesen: Organisation und Verwaltung
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
- Sozialwissenschaften Pädagogik Schulen, Schulleitung Universitäten, Hochschulen
- Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologische Forschungsmethoden
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Mathematik | Informatik Mathematik Stochastik
Weitere Infos & Material
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