Get A Decision Tree To Help You Decide What Statistical Test To Use

Filling out the decision tree for selecting a statistical test can streamline your research process significantly. This guide will walk you through each step of the form to help you accurately determine the appropriate statistical test based on your data.

Follow the steps to complete the decision tree effectively.

1. Click ‘Get Form’ button to obtain the form and open it in your editor.
2. Begin by identifying the type of measurement for your dependent variable. If your variable is on an interval or ratio scale, select that option. If it falls under nominal scale, choose the corresponding category.
3. Determine how many independent variables you have. Options include 0 or 1, based on your research design.
4. Next, identify the number of dependent measures you are analyzing. You can specify if there is 1 dependent measure.
5. Proceed to assess how many levels are present in your variables. Indicate this number in the relevant field.
6. If your population's standard deviation is known, specify this in the designated section.
7. Next, classify the number of categories you are working with and how the subjects are assigned to groups — either randomly or through another method.
8. Decide whether your analysis involves a relationship, within-group comparisons, or predictions. Select the option that fits your data analysis requirements.
9. Based on your inputs, the decision tree will guide you towards the appropriate statistical tests. Options may include z-test, t-test, correlation, regression, ANOVA tests, or chi-square tests.
10. After identifying the correct statistical test, you can save your changes. Options to download, print, or share the form should also be available.

Start completing your decision tree online today for accurate statistical test selection.