Guide Computing Stats With Spss For Windows Version 8

Guide Computing Stats With Spss For Windows Version 8

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The fast route to statistics using the updated SPSS for Windows Version 8, shows how to apply the concepts in practice and can be used with any statistics textbook, including the authors' An Introduction to Statistics in Psychology: A Complete Guide for Students. The step-by-step approach makes it equally easy to use simple and advanced statistical techniques. Each type of research design is illustrated and enhanced by the following features which provide:
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Product details

  • Paperback | 264 pages
  • 174 x 234 x 12mm | 450g
  • Prentice Hall
  • Upper Saddle River, United States
  • 013013645X
  • 9780130136459

Table of contents

Preface *How to Access SPSS Release 8 for Windows and Enter Data *Describing Variables: Tables and Diagrams *Describing Variables Numerically: Averages, Variation and Spread *Shapes of Distributions of Scores *Standard Deviation: The Standard Unit of Measurement in the Social Sciences *Relationships Between Two or More Variables: Diagrams and Tables *Correlation Coefficients: Pearson's Correlation and Spearman's Rho *Regression: Prediction with Precision *Samples and Populations: Generating a Random Sample *Selecting Cases *Standard Error *The t-Test: Comparing Two Samples of Correlated/Related Scores *The t-Test: Comparing Two Groups of Unrelated/Uncorrelated Scores *Chi-square: Differences Between Samples of Frequency Data *Missing Values *Recoding Values *Computing New Variables *Ranking Tests: Non-parametric Statistics *The Variance Ratio Test: The F-ratio to Compare Two Variances *Analysis of Variance (ANOVA): Introduction to the One-Way Unrelated or Uncorrelated ANOVA *Analysis of Variance for Correlated Scores or Repeated Measures *Two-Way Analysis of Variance for Unrelated/Uncorrelated Scores *Multiple Comparisons in ANOVA *Analysis of Covariance (ANCOVA) and Two-Way Analysis of Variance (ANOVA) Mixed Designs *Reading ASCII Text Files Into the Data Editor *Partial Correlation *Factor Analysis *Stepwise Multiple Regression *Hierarchical Multiple Regression *Item Reliability and Inter-Rater Agreement Appendix A: Confidence Intervals Appendix B: Other Statistics on SPSS
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