Independent samples t-test
Compare two independent groups on a continuous outcome after meeting statistical assumptions
The steps for conducting an independent samples t-test in SPSS
2. Drag the cursor over the Compare Means drop-down menu.
3. Click on Independent-Samples T Test.
4. Click on the continuous outcome variable to highlight it.
5. Click on the arrow to move the outcome variable into the Test Variable(s): box.
6. Click on the "grouping" variable to highlight it.
7. Click on the arrow to move the "grouping" variable into the Grouping Variable: box.
8. Click on the Define Groups button.
9. Enter the categorical value for the first independent group into the Group 1: box. Example: "0"
10. Enter the categorical value for the second independent group into the Group 2: box. Example: "1"
12. Click Continue.
13. Click OK.
The steps for interpreting the SPSS output for an independent samples t-test
2. Under the t-test for Equality of Means column heading, look at the p-value under the Sig. (2-tailed) column.
If the p-value is LESS THAN .05, then researchers have a statistically significant difference between the two independent groups on the outcome.
If the p-value is MORE THAN .05, then researchers do NOT have a statistically significant difference between the two independent groups on the outcome.
3. Look back up at the Group Statistics table. The p-value must be interpreted within the context of your means and standard deviations. For example, one would say, "There was a statistically significant difference between 'Group 1' (Mean and standard deviation) and 'Group 2' (Mean and standard deviation), p = .01."
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