Statistics for the Social Sciences
A General Linear Model Approach

This textbook uses the general linear model as an organizing system to help students understand similarities across statistical methods.

Russell T. Warne (Author)

9781108841573, Cambridge University Press

Hardback, published 17 December 2020

606 pages
26 x 21 x 3.3 cm, 1.62 kg

'Dr Warne's gift for teaching statistics is apparent in his writing of this book. Indeed, I wish I had this book when I was a student. His use of the General Linear Model as a schema for understanding how statistical methods are interrelated sets the book apart from others.' Leena J. Landmark, Associate Professor of Special Education, Sam Houston State University, USA

The second edition of Statistics for the 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.

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.

Subject Areas: Probability & statistics [PBT], Psychology [JM], Social research & statistics [JHBC]