Skip to content
Register Sign in Wishlist
Statistics for the Social Sciences

Statistics for the Social Sciences
A General Linear Model Approach

2nd Edition

$74.99 (X)

textbook
  • Publication planned for: November 2020
  • availability: Not yet published - available from November 2020
  • format: Paperback
  • isbn: 9781108814508

$ 74.99 (X)
Paperback

Pre-order Add to wishlist

Other available formats:
Hardback


Request examination copy

Instructors may request a copy of this title for examination

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • 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.

    • Illustrates statistical concepts and methodologies with real data drawn from the social sciences to make statistics relevant to students' interests and field of study
    • Includes step-by-step instructions with screenshots to show readers how to conduct and interpret each statistical analysis using Excel and SPSS
    • Clearly explains the interconnections among statistical procedures using the General Linear Model as a framework to teach students the commonalities among statistical methods
    • Emphasizes modern reporting practices and interpretation of statistics in conformity with the latest developments from the replication crisis and the Journal Article Reporting Standards from APA
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Edition: 2nd Edition
    • Publication planned for: November 2020
    • format: Paperback
    • isbn: 9781108814508
    • dimensions: 253 x 203 mm
    • availability: Not yet published - available from November 2020
  • Table of Contents

    1. Statistics and Models
    2. Levels of Data
    3. Models of Central Tendency and Variability
    4. Visual Models
    5. Linear Transformations and z-Scores
    6. Probability and the Central Limit Theorem
    7. Null Hypothesis Statistical Significance Testing 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 Applying Statistics to Research, and Advanced Statistical Methods.

  • Author

    Russell T. Warne, Utah Valley University
    Russell T. Warne is an associate professor of psychology at Utah Valley University, USA, where he has taught since 2011. He has won awards from the Southwest Educational Research Association, National Association for Gifted Children, and Mensa. He is an 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. He is also the author of In the Know: Debunking 35 Myths About Human Intelligence (Cambridge University Press).

Sign In

Please sign in to access your account

Cancel

Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×