Statistics for the Social Sciences: A General Linear Model Approach

Description

Written by a quantitative psychologist, this textbook explains complex statistics in accessible language to undergraduates in all branches of the social sciences. Built around the central framework of the General Linear Model (GLM), Statistics for the Social Sciences teaches students how different statistical methods are interrelated to one another. With the GLM as a basis, students with varying levels of background are better equipped to interpret statistics and learn more advanced methods in their later courses. Russell T. Warne makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this book will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice and reflection questions. Contents Preface Acknowledgements List of Examples Chapter 1 Statistics and Models Chapter 2 Levels of Data Chapter 3 Visual Models Chapter 4 Models of Central Tendency and Variability Chapter 5 Linear Transformations and z-Scores Chapter 6 Probability and the Central Limit Theorem Chapter 7 Null Hypothesis Statistical Significance Testing and z-Tests Chapter 8 One-Sample t-Tests Chapter 9 Paired-Samples t-Tests Chapter 10 Unpaired Two-Sample t-Tests Chapter 11 Analysis of Variance Chapter 12 Correlation Chapter 13 Regression Chapter 14 Chi-Squared Test Chapter 15 Applying Statistics to Research, and Advanced Statistical Methods Appendix A1 Appendix A2 Appendix A3 Appendix A4 Appendix A5 Appendix A6 Glossary Answer Key References Name Index Subject Index