The focus of this tutorial is on “associations” between two categorical variables. The scenario we will examine is the following: Are managerial status and gender at the bank related? Naturally, we ...

Questions that ask respondents to "choose all that apply" from a set of items occur frequently in surveys. Categorical variables that summarize this type of survey data are called both pick any/c ...

The estimation of empirical models is essential to public policy analysis and social science research. Ordinary Least Squares (OLS) regression analysis is the most frequently used empirical model, and ...

Microsoft Excel can perform numerous statistical functions, as well as create charts from statistical data. Statistical data includes numeric variables or word variables, also called categorical ...

This paper describes and contrasts two useful ways to employ a latent class variable as a mixture variable in regression analyses of panel data with a categorical dependent variable. One way is to ...

Steenburgh, Thomas J., Andrew Ainslie, and Peder Hans Engebretson. "Massively Categorical Variables: Revealing the Information in Zip Codes." Marketing Science 22, no. 1 (winter 2003): 40–57.

A chi-square (χ2) statistic is a test that is used to measure how expectations compare to actual observed data or model results.