If you are taking a statistics class for Nursing, Psychology, or Business, you have probably been told to "run a t-test in SPSS." The problem is, nobody actually explains what to click or how to read the output.
Here is a step-by-step guide to running an Independent Samples T-Test and understanding what the output actually means.
Step 1: When to use a T-Test
You use an Independent Samples T-Test when you want to compare the averages (means) of two different groups. For example: "Is there a difference in test scores between males and females?" or "Does Group A have a higher blood pressure than Group B?"
Step 2: Running the Test
- Click on Analyze in the top menu.
- Go to Compare Means > Independent-Samples T Test.
- Move your dependent variable (e.g., "Test Score") into the Test Variable(s) box.
- Move your grouping variable (e.g., "Gender") into the Grouping Variable box.
- Click Define Groups and enter the codes for your groups (e.g., 1 for Male, 2 for Female).
- Click OK.
Step 3: Reading the Output
You will get a table with two main rows: Equal variances assumed and Equal variances not assumed.
- Look at the column labeled Sig. (This is your p-value).
- If the Sig. is less than 0.05, there is a statistically significant difference between your two groups.
- If the Sig. is greater than 0.05, there is no significant difference.
Step 4: Writing the APA Result
Professors want to see this written in APA format. Here is the template:
"An independent-samples t-test was conducted to compare [Variable 1] for [Group 1] and [Group 2]. There was a significant difference in the scores for [Group 1] (M = [Mean], SD = [SD]) and [Group 2] (M = [Mean], SD = [SD]); t([df]) = [t-value], p = [p-value]."
Still Stuck on Your SPSS Output?
SPSS is notorious for being counter-intuitive. If your output doesn't make sense, or you don't know which test to run for your dataset, we can help.
We offer live 1-on-1 SPSS tutoring. You share your screen, and we help you run the test, interpret the output, and write the APA result. We don't just give you the answer; we teach you what the numbers mean.
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