When to use the chi-square test during program evaluation?

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The chi-square test is commonly used in program evaluation when analyzing categorical data to determine whether there is a significant association or difference between variables. Here are some situations where the chi-square test is applicable in program evaluation:
1. Testing for association or independence: The chi-square test can be used to examine the association or independence between two categorical variables.
2. Assessing program outcomes by categories: The chi-square test can be employed to analyze program outcomes or impacts categorized into different groups.
3. Analyzing survey or questionnaire data.: The chi-square test can be utilized to analyze survey or questionnaire data when the variables of interest are categorical. It allows you to test for significant differences in response frequencies across different groups.
4. Evaluating program outcomes over time: The chi-square test can also be applied to evaluate program outcomes or changes in proportions over time.
5. Assessing distributional differences in program groups: The chi-square test can be used to compare the distribution of categorical variables across different program groups or conditions.