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Statistical Concepts - A Second Course - Debbie L. Hahs-Vaughn, Richard G. Lomax

Statistical Concepts - A Second Course

Buch | Softcover
782 Seiten
2020 | 5th edition
Routledge (Verlag)
978-0-367-20409-9 (ISBN)
CHF 125,65 inkl. MwSt
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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 last 10 chapters from An Introduction to Statistical Concepts, Fourth Edition. Designed for second and upper-level statistics courses, this book highlights how statistics work and how best to utilize them to aid students in the analysis of their own data and the interpretation of research results.

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.

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.

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

Erscheinungsdatum
Zusatzinfo 171 Tables, black and white; 58 Line drawings, black and white; 184 Halftones, black and white
Verlagsort London
Sprache englisch
Maße 178 x 254 mm
Gewicht 3070 g
Themenwelt Geisteswissenschaften Psychologie Allgemeine Psychologie
Naturwissenschaften Biologie
Sozialwissenschaften Pädagogik Erwachsenenbildung
Sozialwissenschaften Soziologie Empirische Sozialforschung
ISBN-10 0-367-20409-6 / 0367204096
ISBN-13 978-0-367-20409-9 / 9780367204099
Zustand Neuware
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