Foolproof Guide to Statistics Using IBM SPSS 2nd Edition By Adelma Hills

Foolproof Guide to Statistics Using IBM SPSS 2nd Edition By Adelma Hills

Table of Contents 1. Introduction 1 2. Entering and Saving Data in SPSS 8 3. The Problem of Variability: Descriptive Statistics for Central Tendency and Variance 14 4. The Problem of Probability: Frequency Distributions, The Normal Distribution, and Standard Scores 22 5. The Logic of Significance Testing: One- and Two-Sample z Tests 34 6. Preparing for Analysis: Data Screening for Parametric Statistics 44 The ANOVA Family of Statistics 7. The One-Sample t Test 56 8. The Dependent-Samples t Test, and Wilcoxon Signed-Rank T Test Nonparametric Alternative 64 9. The Independent-Samples t Test, and the Mann-Whitney U Test Nonparametric Alternative 78 10. One-Way Analysis of Variance (ANOVA), and the Kruskal-Wallis Nonparametric Alternative 92 11. One-Way Repeated Measures ANOVA, and Friedman Alternative 109 12. Factorial Between-Groups ANOVA 117 13. ANOVA Alternatives: Planned Comparisons, and Trend Analysis 147 14. Factorial and Mixed Repeated Measures ANOVA 157 15. Analysis of Covariance (ANCOVA) 173 16. Multivariate Analysis of Variance (MANOVA) 18 17. Discriminant Function Analysis 217 The Correlation Family of Statistics 18. Bivariate Correlation 232 19. Bivariate Regression 246 20. Multiple Regression 255 21. Reliability Analysis 281 22. Exploratory Factor Analysis 291 The Analysis of Nominal Data 23. Chi-Square 306 24. Multiway Frequency Analysis (Loglinear Analysis) 324 Appendices 339 Appendix 1: The new style for nonparametric tests 339 Appendix 2: New and old ways to create graphs 345 References 348 Index 350 List of Main Statistical Symbols