Discovering statistics using IBM SPSS statistics
"With its unique combination of humour and step-by-step instruction, this award-winning book is the statistics lifesaver for everyone. From initial theory through to regression, factor analysis and multilevel modelling, Andy Field animates statistics and SPSS software with his famously bizarre examples and activities. Features: Flexible coverage to support students across disciplines and degree programmes Can support classroom or lab learning and assessment Analysis of real data with opportunities to practice statistical skills Highlights common misconceptions and errors A revamped online resource that uses video, case studies, datasets, testbanks and more to help students negotiate project work, master data management techniques, and apply key writing and employability skills Now fully up to date with latest versions of IBM SPSS Statistics©. All the online resources above (video, case studies, datasets, testbanks) can be easily integrated into your institution's virtual learning environment or learning management system. This allows you to customize and curate content for use in module preparation, delivery and assessment"--
Bibliographic Information
| Format: | Book |
|---|---|
| Author: | Field, Andy P., |
| Subject: |
Social sciences Statistics SPSS for Windows |
| Publication Year: | 2024 |
| Language: | English |
| Published: | London : SAGE, [2024] |
| ISBN: | 9781529630008 1529630002 |
| Notes: | Includes bibliographical references (pages [1079]-1094) 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. Visualizing data -- 6. The beast of bias -- 7. Non-parametric models -- 8. Correlation -- 9. The linear model (regression) -- 10. Categorical predictors : comparing two means -- 11. Moderation and mediation -- 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. |
| Course: |
PSY213 CP516 PSY510 BUS220 BUS472 |
Availability at HKSYU Library
| Location | Call number | Status |
|---|---|---|
| English Book (4/F) | 519.50285536 FIE 2024 | Due Date:2026-07-02 |