Statistics for the Social Sciences: A General Linear Model Approach

✍ Scribed by Russell T. Warne

• Publisher: Cambridge University Press
• Year: 2017
• Tongue: English
• Leaves: 597
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

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