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Statistics for the Social Sciences
A General Linear Model Approach

$59.99 (X)

textbook
  • Date Published: December 2017
  • availability: In stock
  • format: Paperback
  • isbn: 9781107576971
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About the Authors
  • 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.

    • Written in an accessible way so students with varying levels of background can easily comprehend the material
    • Makes the content relatable and relevant to students by including interesting real-life examples from the social sciences
    • Robust pedagogical features include learning goals, guided practice, reflection questions and software guides
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    Customer reviews

    04th Jan 2018 by Kyounkin

    Dr. Warne is an amazing author! You can tell this book was written with students in mind. It's nice to have a book that is not only affordable, but excellent at taking a complex subject and simplifying it down to a student level without losing nuance.

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    Product details

    • Date Published: December 2017
    • format: Paperback
    • isbn: 9781107576971
    • dimensions: 260 x 211 x 28 mm
    • weight: 1.4kg
    • availability: In stock
  • Table of Contents

    Preface
    Acknowledgements
    List of examples
    1. Statistics and models
    2. Levels of data
    3. Visual models
    4. Central tendency and variability
    5. Linear transformations and z-scores
    6. Probability and CLT
    7. NHSST and z-tests
    8. One-sample t-tests
    9. Paired samples t-tests
    10. Unpaired two-sample t-tests
    11. Analysis of variance
    12. Correlation
    13. Regression
    14. Chi-squared test
    15. Advanced methods
    Appendices
    Glossary
    Answer key
    References
    Index.

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    Statistics for the Social Sciences

    Russell T. Warne

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  • Author

    Russell T. Warne, Utah Valley University
    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.

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