How we change what others think, feel, believe and do

# 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 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.

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