Normal view
MARC view
Discovering statistics using IBM SPSS / Andy Field.
Series: Sage edgeCopyright date: 2018Edition: Fifth editionDescription: 1070 pages : illustrations ; 27 cmContent type:- still image
- text
- unmediated
- volume
- 9781526419521
- 1526419521
- HA32.F54 2018
Contents:
1. Why is my evil lecturer forcing me to learn statistics? -- 2. The spine of statistics -- 3. The phoenix of statistics -- 4. The IBM SPSS statistics environment -- 5. Exploring data with graphs -- 6. The beast of bias -- 7. Non-parametric models -- 8. Correlation -- 9. The linear model (regression) -- 10. Comparing two means -- 11. Moderation, mediation and multicategory predictors -- 12. GLM 1 : comparing several independent means -- 13. GLM 2 : Comparing means adjusted for other predictors (analysis of covariance) -- 14. GLM 3 : Factorial designs -- 15. GLM 4 : Repeated-measures designs -- 16. GLM 5 : mixed designs -- 17. Multivariate analysis of variance (MANOVA) -- 18. Exploratory factor analysis -- 19. Categorical outcomes : chi-square and loglinear analysis -- 20. Categorical outcomes : logistic regression -- 21. Multilevel linear models.
| Item type | Current library | Home library | Collection | Shelving location | Call number | Status | Barcode | |
|---|---|---|---|---|---|---|---|---|
Books
|
American University in Dubai | American University in Dubai | Non-fiction | Main Collection | HA32.F54 2018 (Browse shelf(Opens below)) | Available | 5187282 |
Browsing American University in Dubai shelves, Shelving location: Main Collection Close shelf browser (Hides shelf browser)
First edition published 2000.
Includes bibliographical references and Index.
1. Why is my evil lecturer forcing me to learn statistics? -- 2. The spine of statistics -- 3. The phoenix of statistics -- 4. The IBM SPSS statistics environment -- 5. Exploring data with graphs -- 6. The beast of bias -- 7. Non-parametric models -- 8. Correlation -- 9. The linear model (regression) -- 10. Comparing two means -- 11. Moderation, mediation and multicategory predictors -- 12. GLM 1 : comparing several independent means -- 13. GLM 2 : Comparing means adjusted for other predictors (analysis of covariance) -- 14. GLM 3 : Factorial designs -- 15. GLM 4 : Repeated-measures designs -- 16. GLM 5 : mixed designs -- 17. Multivariate analysis of variance (MANOVA) -- 18. Exploratory factor analysis -- 19. Categorical outcomes : chi-square and loglinear analysis -- 20. Categorical outcomes : logistic regression -- 21. Multilevel linear models.
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