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Categorical Data Analysis: Dealing with Counts, Frequencies & Percentages

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Stat Hacks

Statistician turned Data Scientist with a Psychology background. I create clear, practical content that makes statistics easy to understand.

Part of seriesCategorical Data Analysis

Categorical Data! The irritating data type which requires you to learn a whole new set of statistical tools — as it renders your traditional t-test, ANOVA, and regression models moot due to assumption violations.

In this series of posts, I will be covering the various techniques one can use to handle this type of data. The contents of this post will be as follows:

  1. Chi-Square Test of Independence

  2. Two Sample Test of Proportions

  3. Logistic & Probit Regression

  4. Multinomial Logistic Regression

  5. Ordinal Logistic Regression

  6. Poisson Regression

  7. Negative Binomial Regression

  8. Analysing Categorical Data in R (Paid Resource)

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Categorical Data Analysis

Part 8 of 8

This series contains the tools needed to analyse counts, frequencies and percentages. Dealing with this type of data often requires specialised techniques not covered in school.

Start from the beginning

Negative Binomial Regression: Extension of Poisson Regression

Note: this post is part of a series of posts about Categorical Data Analysis: Dealing with Counts, Frequencies & Percentages Negative Binomial Regression is used when Poisson Regression Assumption of equidispersion is not met (recall that Poisson Reg...

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