Statistics for the Social Sciences: A General Linear Model Approach

by Russell T. Warne

The second edition of Statistics for Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition 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.

Genres: Mathematics, Textbooks

606 pages, Hardcover

Published December 17, 2020

About the author

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.

Reviews

[J. Boo]

Author gives list of changes between first and second edition here:

https://russellwarne.com/2020/03/01/w...

[Kellie O'Malley]

Pretty good as math books go