Discovering Statistics Using IBM SPSS Statistics 5th Andy Field

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Product details:

• ISBN 10: 1526440318
• ISBN 13: 9781526440310 
• Author: Andy Field
  

With an exciting new look, math diagnostic tool, and a research roadmap to navigate projects, this new edition of Andy Field’s award-winning text offers a unique combination of humor and step-by-step instruction to make learning statistics compelling and accessible to even the most anxious of students. The Fifth Edition takes students from initial theory to regression, factor analysis, and multilevel modeling, fully incorporating IBM SPSS Statistics© version 25 and fascinating examples throughout. SAGE edge offers a robust online environment featuring an impressive array of free tools and resources for review, study, and further exploration, keeping both instructors and students on the cutting edge of teaching and learning. Course cartridges available for Blackboard and Moodle. Learn more at edge.sagepub.com/field5e Stay Connected Connect with us on Facebook and share your experiences with Andy’s texts, check out news, access free stuff, see photos, watch videos, learn about competitions, and much more. Video Links Go behind the scenes and learn more about the man behind the book at Andy’s YouTube channel Andy Field is the award winning author of An Adventure in Statistics: The Reality Enigma and is the recipient of the UK National Teaching Fellowship (2010), British Psychological Society book award (2006), and has been recognized with local and national teaching awards (University of Sussex, 2015, 2016).

Table contents:

Part 1. Why is my evil lecturer forcing me to learn statistics?

Part 2. The SPINE of statistics

Part 3. The phoenix of statistics

Part 4. The IBM SPSS Statistics environment

Part 5. Exploring data with graphs

Part 6. The beast of bias

Part 7. Non-parametric models

Part 8. Correlation

Part 9. The Linear Model (Regression)

Part 10. Comparing two means

Part 11. Moderation, mediation and multicategory predictors

Part 12. GLM 1: Comparing several independent means

Part 13. GLM 2: Comparing means adjusted for other predictors (analysis of covariance)

Part 14. GLM 3: Factorial designs

Part 15. GLM 4: Repeated-measures designs

Part 16. GLM 5: Mixed designs

Part 17. Multivariate analysis of variance (MANOVA)

Part 18. Exploratory factor analysis

Part 19. Categorical outcomes: chi-square and loglinear analysis

Part 20. Categorical outcomes: logistic regression

Part 21. Multilevel linear models

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