Methoden van Communicatie Onderzoek en Beschrijvende Statistiek
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Summary SPSS overview of keys
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Methoden van Communicatie Onderzoek en Beschrijvende Statistiek
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Universiteit Van Amsterdam (UvA)
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...
spss spss overview spss overview of keys spss overview keys
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Universiteit van Amsterdam (UvA)
Communicatiewetenschap
Methoden van Communicatie Onderzoek en Beschrijvende Statistiek
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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 the means of two scales belonging to the same respondent to check whether the
population means are significantly different.
Compare mean differences within groups in the population.
Assumptions:
- Normal distribution
- N>100
H0 = The difference between both scales is equal to 0 in the population.
You are comparing scores within units such as a person, a family or a company
SPSS:
Analyze > Compare Means > Paired-Samples T Test
Assign variables 1 and 2: in anti-chronological order --> first the post, then the pre variables
Rapportage:
A dependent t-test revealed that
(μ)hygiene scores on day one) (μ)M = 1.65, SD = 0.64) were significantly higher than
(μ)hygiene scores on day three) (μ)M = 0.98, SD = 0.71) of visiting a festival,
t(μ)122) = 10.59, p < .001, d = 0.95, 95% CI [0.55, 0.80].
Effect size:
Cohen's d = Mean Difference/Standard Deviation
Independent sample t-test:
- Grouping variable is categorical (μ)X): [man/woman] or [control/experimental]
- Test variable is continuous (μ)Y): [score of something]
Compare the means of two groups (μ)determined by a grouping variable) to check if the
population means are significantly different.
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