Need help running a T-test in SPSS?

Need help running a T-test in SPSS? Topic: Steps to draw a conclusion
July 17, 2019 / By Alysa
Question: I'm trying to run a T-test between a pretest group & a post test group. I think I'm doing everything right, but the output is all funky. Can someone run through step-by-step how to run a T-test in SPSS?? Surely I'm just overlooking something... Thanks, Robert_J, but in this instance I NEED to know how to do this T-test, because it's part of a final exam. And I really don't want to waste all that time doing it by hand. Do you know how?? Please help, folks! I only have a limited amount of time to use the computer lab!!!
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Best Answers: Need help running a T-test in SPSS?

Vester Vester | 5 days ago
You're studying psychology, right? I've never seen a single instance where you would draw a different conclusion from looking at the raw data than you would draw from looking at it after it has been massaged through all the statistics. Don't tell anybody, or statistics instructors might have to get a job.
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Vester Originally Answered: What does error code 0142 mean coming from my Dell Windows Vista laptop after beeping loud and running a test?
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Vester Originally Answered: What does error code 0142 mean coming from my Dell Windows Vista laptop after beeping loud and running a test?
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Vester Originally Answered: What does error code 0142 mean coming from my Dell Windows Vista laptop after beeping loud and running a test?
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Roscoe Roscoe
As long as you have a variable that is consistent in both sets of data, you should be okay. Then I think you can use the paired-samples t-test. In SPSS, from the menu, "Analyze" "Compare Means" "paired samples T Test" In the dialog box, choose the variables you want to use and move them over, then click OK.
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Roscoe Originally Answered: SPSS analysis? How?
I agree that an ANOVA seems to be the proper procedure here. The idea behind ANOVA is that you want to determine whether membership in a group has an effect on some outcome. In this case, you want to know whether membership in the color groups has an effect on how well people recall the words. Having an all-black control group in the equation lets you see whether people in color groups differ from people in the black group. The main problem I see here is that you don't have your data structured in a way that will allow you to analyze your research hypothesis. All you can test right now is whether having a combination of black and color words has an effect on the total percentage of words that people remember; you can't get at whether people remember the color words more frequently than the black words. For that, you would need to have separate variables for the number of incorrect color words and the number of incorrect black words, so you can get separate figures for the black success rate and the color success rate. One thing to take into consideration is whether it's specific colors that you're interested in (i.e., do you expect the black and green group to differ from the black and red group), or whether it's just the fact that some of the words aren't black. Performing an ANNOVA comparing just the color groups to each other indicates that they don't differ significantly from one another, so if I were you I would probably just recode the group classification into a binary black only vs. black and color variable. Then you would just be dealing with a t-test, which is a simpler way of approaching the problem. Assuming you have information on the success rates for color words as opposed to black words, you should definitely put that into the data set. Then you could test the hypothesis that people recall more of the color words than the black ones. In that case, you would need to structure your groups by the kind of words you're talking about, instead of just the group the subject was in. I think in order to do that you might want to create two cases for each subject, one with their color information and one with their black information, in order to compare them on a single success rate variable. This might not be necessary, but I can't think of a way around it at the moment. On a side note, it's interesting that people in the mixed groups did significantly worse than the black-only group. EDIT: I would say that your control group is still an important part of your story; it will allow you to speculate on HOW mixing the colors creates different success rates, if at all. Let's say you find that people do better on the colored words. Is that because the color words stick out and people do unusually well on them, or is it because people forget the black words and do unusually poorly on those? You need a control group to try to answer that; it allows you to compare the success rates to something. It's entirely possible that mixing the colors has an effect on how well people remember the black questions in those groups, so you need to know how well they remember the black questions alone.
Roscoe Originally Answered: SPSS analysis? How?
cna you provide a little more details, possibly send me what you have, i work in spss for urban planning daily and am doing a report with it at the moment, i might be able to do it for you real quick. generally i just analyze populations.

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