Statistical Concepts - A Second Course / Edition 5

Statistical Concepts - A Second Course / Edition 5

ISBN-10:
0367204096
ISBN-13:
9780367204099
Pub. Date:
01/23/2020
Publisher:
Taylor & Francis
ISBN-10:
0367204096
ISBN-13:
9780367204099
Pub. Date:
01/23/2020
Publisher:
Taylor & Francis
Statistical Concepts - A Second Course / Edition 5

Statistical Concepts - A Second Course / Edition 5

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Overview

Statistical ConceptsA 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.


Product Details

ISBN-13: 9780367204099
Publisher: Taylor & Francis
Publication date: 01/23/2020
Edition description: 5th ed.
Pages: 782
Product dimensions: 7.00(w) x 10.00(h) x (d)

About the Author

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.

Table of Contents

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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