Statistics for the Social Sciences
Statistics for the Social Sciences
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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.
- 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
Reviews & endorsements
'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
Product details
March 2021Paperback
9781108814508
606 pages
259 × 203 × 24 mm
1.43kg
Available
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.
