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The level of measurement is required of the independent variable (iv) and dependent variable (dv) to conduct a chi-square analysis is "the chi-squared test for independence."

What is chi-square test?

A chi-square (X²) statistic is a test which compares a model to real observed data. A chi-square statistic requires data that is random, raw, mutually exclusive, obtained from independent variables, & drawn from a large enough sample. Tossing a fair coin, for example, meets these criteria.

Some key features regarding chi-square test are-

  • Chi-square analysis is excellent for assessing such disparities in categorical variables, particularly nominal variables.
  • X² is determined by the amount of the discrepancy between the observed and real values, its degrees of freedom, as well as the sample size.
  • X² can be used to figure out if two variables are connected or independent.
  • It can also be used to determine the goodness-of-fit between being an observed distribution or a theoretical frequency distribution.

To know more about chi-square test, here

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