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| Title: Complete Guide Computing Stats SPSS Windows Version 6 ISBN: 0137291973 Publication Date: 1996-12-23 Publisher: Prentice Hall Authors: Howitt, Cramer | |
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Description: This Book is a practical guide to SPSS for Windows when analysing psychological and similar data. It si based on the latest version of SPSS for Windows (Release 6 for Windows Version 3.1 and Release 7 for Windows 95. This uncomplicated manual expertly leads the student through the use of SPSS software in windows format, starting with the very basic How to access SPSS for Windows, to dealing with and manipulating statistical analyses using hierachical and multiple regressions.
A Guide to Computing can be used as a stand-alone guide to SPSS for Windows. However, it draws on the examples of research described and explained in An Introduction to Statistics in Psychology (Howitt and Cramer, 1977), an introductory but extended textbook on psychological statistics. | |
Contents: Introduction
1. How to access SPSS for Windows and enter data 2. Describing variables: tables and diagrams 3. Describing variables numerically: averages, variation and spread 4. Shapes of distributions of scores 5. Standard deviation: the standard unit of measurement in statistics 6. Relationships between two or more variables: diagrams and tables 7. Correlation coefficients: Pearson's correlation and Spearman's Rho 8. Regression: prediction with precision 9. Samples and populations: generating a random sample 10. Selecting cases 11. Standard error 12. The t-test: comparing two samples of correlated/related scores 13. The t-test: comparing two groups of unrelated/uncorrelated scores 14. Chi-square: differences between samples of frequency data 15. Missing values 16. Recoding values 17. Computing new variables 18. Ranking tests: nonparametric statistics 19. The variance ratio test: the F-ratio to compare two variances 20. Analysis of variance (ANOVA): introduction to the one-way unrelated or uncorrelated ANOVA 21. Analysis of variance for correlated scores or repeated measures 22. Two-way analysis of variance for unrelated/uncorrelated scores 23. Multiple comparisons in ANOVA 24. Analysis of covariance (ANCOVA) 25. Reading ASCII text files into Newdata 26. Partial correlation 27. Factor analysis 28. Stepwise multiple regression 29. Hierarchical multiple regression Appendix. Other statistics on SPSS Index
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