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Choosing a test
Explanations
> Social Research > Analysis
> Choosing a test
Here's a table to help you choose the analysis to use, based on the data you are analyzing:
|
Data type? |
|
Frequency / count |
|
|
Scores |
|
Objective of the
study? |
|
Correlation between independent
variables |
|
|
Understanding differences
between groups |
|
How many independent
variables? |
|
1 |
|
Independent
(not repeated)measures? |
|
Y |
|
How many groups? |
|
2 |
|
|
>2 |
|
Parametric data? |
|
Y |
One-way, independent-measures
ANOVA |
|
N |
Kruskal-Wallis test |
|
|
|
N |
|
How many conditions? |
|
2 |
|
|
>2 |
|
Parametric data? |
|
Y |
One-way, repeated measures
ANOVA |
|
N |
Friedman's test |
|
|
|
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>1 |
ANOVA |
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Some notes:
- Frequency/count data is often
nominal.
- You vary independent variables to see how they compare with each other and
how dependent variables change as a result.
- Independent measures are applied to independent people or groups (vs.
repeated measure, which are applied to the same people or group).
- Parametric data has a Normal distribution and has homogeneous variances.
See also
Data design,
Parametric vs. non-parametric tests
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