The 3 main types of Chi-square tests are:

**Chi-square goodness-of-fit test:**used to compare the distribution of a categorical variable (with more than 2 levels) to a hypothetical distribution.**Chi-square homogeneity test:**used to test whether 2 groups (coming from 2 different samples) have the same distribution regarding a certain categorical variable.**Chi-square independence test:**used to evaluate if 2 categorical variables are related or independent of each other.

## Information that should be reported

### Reporting the use of a Chi-square test

No matter which version of the Chi-square test you use, the following information should be reported in the METHODS section of your research paper:

- the
**assumptions**of the Chi-square test (the observations should be drawn independently from the population, and most levels of the categorical variable (>80%) must contain at least 5 observations) - the
**type**of Chi-square test used (i.e. goodness-of-fit, homogeneity, or independence test) - the
**objective**of the test - the
**threshold for statistical significance**, generally set at 0.05.

### Reporting the results of a Chi-square test

The following should be reported in the RESULTS section of your research paper:

- the results of the Chi-square test:
- the value of the
**Chi-square statistic** - the
**degrees of freedom** - and the
**p-value**

- the value of the
- the
**consequence/interpretation**of these results

## More details

The links below provide detailed information with examples on how to report each type of Chi-square test: