SPSS t-test Tutorials – Overview
A t-test compares two means. There are three different t-tests, each of which has its own tutorial.
One-Sample T-Test
The one sample t-test compares the mean of one variable for one group with a given value: was the mean income over 2015 equal to $30,000,-?
Independent Samples T-Test
The independent samples t test compares the means of one variable for two groups of cases. For example, did men and women have the same mean income over 2015?
Paired Samples T-Test
The paired samples t-test compares the means of two variables for one group. For example, was the mean income over 2015 the same as the mean income over 2014?
The paired-samples t-test is equivalent to running a one-sample t-test on the difference scores between the two variables. The null hypothesis is that the mean population difference score is zero, which implies that the two variables have equal means.
SPSS T-Test Tutorials
SPSS One Sample T-Test
SPSS one-sample t-test is used for testing whether the mean of one metric variable is equal to some hypothesized population value. Read More
SPSS Independent Samples T Test
SPSS independent samples t-test is a procedure for testing whether the means from two groups of cases on one metric variable are equal. The two groups are usually identified by a dichotomous variable. Read More
SPSS Paired Samples T Test
SPSS paired samples t-test is a procedure for testing whether the means of two metric variables are equal. Both variables have been measured on the same cases. Read More