LibGuides: SPSS Tutorials: Analyzing Data

Part 1: Inferential Statistics for Association

In Part I, we cover common inferential statistics for testing the relationship or association between variables.

Pearson Correlation
Pearson correlation (Analyze > Correlate > Bivariate) is used to assess the strength of a linear relationship between two continuous numeric variables.
Chi-square Test of Independence
The Chi-Square Test of Independence is used to test if two categorical variables are independent of each other.

In Part 2, we cover common inferential statistics for testing and comparing means.

One Sample t Test
One sample t tests (Analyze > Compare Means > One Sample T Test) are used to test if the mean of a continuous numeric variable is equal to a hypothesized value of the population mean.
Paired-Samples T Test
Paired t tests (Analyze > Compare Means > Paired-Samples T Test) are used to test if the means of two paired measurements, such as pretest/posttest scores, are significantly different.
Independent Samples T Test
Independent samples t tests (Analyze > Compare Means > Independent-Samples T Test) are used to test if the means of two independent groups are significantly different.
One-Way ANOVA
One-Way ANOVA (Analyze > Compare Means > One-Way ANOVA) is used to test if the means of two or more groups are significantly different.