# Statistics for the Social Sciences: A General Linear Model Approach

Cambridge University Press, Dec 14, 2017 - Psychology
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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 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.

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### Contents

 1 Statistics and Models 1 2 Levels of Data 21 3 Visual Models 35 4 Models of Central Tendency and Variability 77 5 Linear Transformations and zScores 103 6 Probability and the Central Limit Theorem 127 7 Null Hypothesis Statistical Significance Testing and zTests 151 8 OneSample tTests 181
 15 Applying Statistics to Research and Advanced Statistical Methods 443 Appendix A1 zTable 485 Appendix A2 tTable 494 Appendix A3 FTable 497 Appendix A4 Qtable Tukeys Post Hoc Test 500 Appendix A5 Critical Values for r 503 Appendix A6 2Table 506 Glossary 508

 9 PairedSamples tTests 215 10 Unpaired TwoSample tTests 241 11 Analysis of Variance 275 12 Correlation 329 13 Regression 369 14 ChiSquared Test 403
 Answer Key 524 References 548 Name Index 564 Subject Index 569 Copyright

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Russell Warne is a quantitative psychologist in the Department of Behavioral Science at Utah Valley University who earned his Ph.D. from Texas A & M University in 2011. Since 2009 he has taught introductory statistics to undergraduates majoring in psychology, sociology, education, anthropology, communications, family studies, exercise science, and biology. He has published over forty articles in professional journals in psychology, education, methodology, medicine, sociology, health, business, and the arts. For nearly half of these articles his co-authors were students. Dr Warne has earned awards for his research from the National Association for Gifted Children, Southwest Educational Research Association, Texas A & M University, and Utah Valley University. He also uses his statistical training to serve on the editorial board for three scientific journals (the Journal of Psychoeducational Assessment and Gifted Child Quarterly) and as a statistical and methodological consultant/editorial board member for the Journal of School Psychology.