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Statistics for the Social Sciences: A General Linear Model Approach
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About Statistics For The Social Sciences: A General
Product 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. Book Description This introductory undergraduate textbook is the first statistics textbook built around the General Linear Model. About the Author Dr. Russell T. 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 two 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.
