Using IBM SPSS statistics for research methods and social science statistics

Machine generated contents note: ch. 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

ch. 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 Vanables

Using the Count Function

Computing an Index Using the Mean

Multiple Response

ch. 3 Selecting and Sampling Cases

Targeted Selection

Random Selection

Selecting Cases for Inclusion in a New Data Set

Note continued: ch. 4 Organization and Presentation of Information

Measures of Central Tendency and Variability

Frequency Distributions

ch. 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

ch. 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 (x2)

Chi-Square (x2) and Cross-Tabulation

ch. 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 (X)

Gamma (y), Kendall's Tau-b, and Somers'd

References

Note continued: ch. 8 Correlation and Regression Analysis

Bivariate Regression

Correlation

Multiple Regression

ch. 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

ch. 10 Analysis of Variance

One-Way ANOVA

ANOVA in Regression

ch. 11 Editing Output

Editing Basic Tables

Copying to Microsoft Word

Importing and Preparing Text Files for Analysis by SPSS

Editing Charts and Graphs

ch. 12 Advanced Applications

Merging Data From Multiple Files

Opening Previously Created Syntax Files

Creating New SPSS Syntax Files.