This document provides a clear overview of all the tests you can perform in SPSS. For each test, the following becomes clear (1) the measurement levels of the variables are, (2) the assumptions, (3) corresponding zero hypothesis, (4) what to check in SPSS, (5) reporting, (6) corresponding effect si...
One sample t-test:
- Test value is a hypothetical mean
- Test variable is continuous: [score of something]
Compare the sample mean to a hypothetical population mean (μ)μ))
Make sure that the sample mean is a good fit for the hypothetical population
Assumptions:
- Normal distribution
H0 = The population mean is equal to [the hypothetical mean].
SPSS:
Analyze > Compare Means > One-Sample T Test
- Assign test variable
- Test value = [insert hypothetical mean]
Rapportage:
A one sample t-test showed that the average age was significantly lower than 45 (μ)M=32,5,
SD=.93),
t(μ)582)=84.72, p<.001, d=-1.66, 95% CI[6.18, 6.33].
Effect size:
Cohen's d = Mean Difference/Standard Deviation
Dependent / paired t-test:
Test variable 1 is continuous: [score of something] - Test variable 2 is continuous: [score of
something]
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