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Statistics for the Social Sciences: A General Linear Model Approach

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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 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.

601 pages, Paperback

Published December 14, 2017

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About the author

Russell T. Warne

3 books11 followers
Dr. Russell T. Warne earned his Bachelor’s of Science degree in psychology from Brigham Young University in 2007 and his PhD in educational psychology (with an emphasis in research, measurement, and statistics) from Texas A&M University in 2011. He has taught at Utah Valley University since 2011 and has obtained the rank of associate professor. Dr. Warne is the associate editor for the Journal for the Education of the Gifted and serves on the editorial boards for Intelligence, the Journal of School Psychology, Gifted Child Quarterly, and the Journal of Psychoeducational Assessment.

Dr. Warne has published over 55 scholarly articles in peer reviewed journals and is the author of the acclaimed undergraduate statistics textbook Statistics for the Social Sciences: A General Linear Model Approach.

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