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Discovering statistics using IBM SPSS / Andy Field.

By: Field, Andy P.
Contributor(s): Field, Andy P. Discovering statistics using SPSS.
Series: Sage edge: Copyright date: 2018Edition: Fifth edition.Description: 1070 pages : illustrations ; 27 cm.Content type: still image | text Media type: unmediated Carrier type: volumeISBN: 9781526419521; 1526419521.Subject(s): SPSS for Windows | Social sciences -- Statistical methods -- Computer programs | Social sciences -- Statistical methods | Statistics | Social sciences -- Statistical methods | Statistics
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.
List(s) this item appears in: Faculty TextBook
Holdings
Item type Current library Home library Collection Shelving location Call number Status Date due Barcode
Books Books American University in Dubai American University in Dubai Non-fiction Main Collection HA32.F54 2018 (Browse shelf(Opens below)) Available 5187282

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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