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Choosing a test

 

Explanations > Social ResearchAnalysis > 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

How many variables?

1

Chi-square goodness of fit

2

Chi-square test of association

Scores

Objective of the study?

Correlation between independent variables

Parametric data?

Y

Pearson correlation

N

Spearman correlation

Understanding differences between groups

How many independent variables?

1

Independent (not repeated)measures?

Y

How many groups?

2

Parametric data?

Y

Independent-measures t-test

N

Mann-Whitney test

>2

Parametric data?

Y

One-way, independent-measures ANOVA

N

Kruskal-Wallis test

N

How many conditions?

2

Parametric data?

Y

Matched-pair t-test

N

Wilcoxon test

>2

Parametric data?

Y

One-way, repeated measures ANOVA

N

Friedman's test

>1

ANOVA

 

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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