SPSS overview
Compare means:
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]
Compare means:
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]
