Selecting a Statistical Test
If you select this decision tree, some of your study's characteristics are needed. As you advance through this decision tree, the characteristics are explained, to help you choose the most appropriate options.
To use this chart, you would need to know:
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The type of research study
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Level of measurement (type) of variables
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Parametric test assumptions
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Number of samples
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If conditions are related or unrelated
In order to select the appropriate statistical test(s) for your quantitative study, you will need to know some of the test's characteristics. This web site presents two options for selecting your statistical test. The two decision trees used in this web site are shown below.
Decision Tree #1 - Knowing the type of study
Begin by determining if you want to examine differences or relationships between variables. This option is based on the following chart:
Source:
Selecting a Decision Tree Option
Decision Tree #2 - Knowing the number of variables
Select this option if you know how many variables you'll be analyzing in your study. This option is based on the following chart:
If you select this decision tree, some characteristics of your study are needed. As you advance through the decision tree, the characteristics are explained to help you choose the most appropriate options.
To use this chart, you will need to know:
-
Number of variables
-
Level of measurement (type) of variables
-
If conditions are related or unrelated
-
Levels of the Independent Variable
Source: Oxford Brookes University
