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Foolproof Guide to Statistics Using IBM SPSS
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Table of Contents

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

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