Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics by Wagner III, William E. -- Read -- Imperial Library of Trantor

Index

Halftitle Dedication Title Copyright Conents Preface Acknowledgments 1: Overview

What’s the Difference Between SPSS Statistics and PASW Statistics? None. Statistical Software About the GSS Data SPSS/PASW Electronic Files Opening Existing Data Files Importing Data From Statistics File Formats Other Than SPSS or PASW Opening Previously Created Output Files Saving Files Creating New SPSS Statistics Data Files Creating and Editing SPSS Statistics Output Files Preferences: Getting Started Measurement of Variables Using SPSS Statistics References

2: Transforming Variables

Recoding and Computing Variables Recoding Variables: Dichotomies and Dummy Variables Recoding Using Two or More Variables to Create a New Variable Computing Variables Using the Count Function Computing an Index Using the Mean Multiple Response

3: Selecting and Sampling Cases

Targeted Selection Random Selection Selecting Cases for Inclusion in a New Data Set

4: Organization and Presentation of Information

Measures of Central Tendency and Variability Frequency Distributions

5: Charts and Graphs

Boxplot Legacy Options for Graphs (Boxplot Example) Scatterplot Legacy Scatterplot Histogram Multivariate Histogram Horizontal Histogram Bar Graph Multivariate Bar Graph Pie Chart Additional Graphic Capabilities in SPSS Statistics

6: Testing Hypotheses Using Means and Cross-Tabulation

Comparing Means Comparing Means: Paired-Samples t Test Comparing Means: Independent-Samples t Test One-Sample t Test Chi-Square (χ2) Chi-Square (χ2) and Cross-Tabulation

7: Cross-Tabulation and Measures of Association for Nominal and Ordinal Variables

Bivariate Analysis Adding Another Variable or Dimension to the Analysis Measures of Association for Nominal and Ordinal Variables Lambda (λ) Gamma (γ), Kendall’s Tau-b, and Somers’ d References

8: Correlation and Regression Analysis

Bivariate Regression Correlation Multiple Regression

9: Logistic Regression Analysis

Preparing Variables for Use in Logistic Regression Analysis Creating a Set of Dummy Variables to Represent a Multicategory Nominal Variable Logistic Regression Analysis Logistic Regression Using a Categorical Covariate Without Dummy Variables Interpreting Odds Ratios Step Models

10: Analysis of Variance

One-Way ANOVA ANOVA in Regression

11: Editing Output

Editing Basic Tables Copying to Microsoft Word Importing and Preparing Text Files for Analysis by SPSS Editing Charts and Graphs

12: Advanced Applications

Merging Data From Multiple Files Opening Previously Created Syntax Files Creating New SPSS Syntax Files

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