SPSS survival manual : a step by step guide to data analysis using IBM SPSS - Pallant, Julie (London,England : Open University Press/McGraw-Hill Education, 2020)
1. Designing a study -- 2. Preparing a codebook -- 3. Getting to know IBM SPSS statistic -- 4. Creating a data file and entering data -- 5. Screening and cleaning the data -- 6. Descriptive statistic -- 7. Using graphs to describe and explore the data -- 8. Manipulating the data -- 9. Checking the reliability of a scale -- 10. Choosing the right statistic -- 11. Correlation -- 12. Partial correlation -- 13. Multiple regression -- 14. Logistic regression -- 15. Factor analysis -- 16. Non para metric statistic -- 17. T test -- 18. One way analysis of variance -- 19. Two way betwee groups ANOVA -- 20. Mixed between within subject analysis of variance -- 21. Multivariate analysis of variance -- 22. Analysis of covariance
Includes bibliographical references (pages 353-357) and index
Keywords: Social sciences -- Research -- Statistical methods; Statistics -- Data processing