Introduction to Categorical Data Analysis with R – ONLINE

Introduction to Categorical Data Analysis with R – ONLINE

  • Day 1
    04/02/2022
    9:30 am - 4:30 pm
  • Day 2
    11/02/2022
    9:30 am - 4:30 pm
  • Day 3
    18/02/2022
    9:30 am - 4:30 pm

Course details

statistics course | level: intermediate | register now
for questions related to this event, contact uantwerpen@flames-statistics.com
affiliation: University of Antwerp


Abstract

Each day will involve both theoretical and practical sessions, and during the latter the most important R packages for categorical data analysis are presented. Because of the history of Categorical Data Analysis, most of the applications will come from the Social Sciences or the Humanities.

On the first day, the fundamental concepts of categorical data are introduced, such as joint probability, conditional probability, marginal probability, and stochastic (in)dependence. The rational of Pearson’s chisquare test will be explained, followed by the introduction of the bivariate loglinear model (independence,

The second day starts with the exposition of Log-linear Analysis as the technique for modelling the associations or (conditional) independence in multiway tables. The hierarchical principle in modelling will be explained, along with commonly used statistics for model selection such as BIC and AIC. Considerable time
will be spend on interpreting parameters in the Log-linear model. Extentions of the model to the analysis of ordinal variables will be discussed, for instance linear-by-linear association.

The third day consists of explaining the relation of Log-linear Analysis to various Generalized Linear Models for categorical data. Attention will mostly be paid to Poisson regression and logistic regression, but Negative Binomial regression for over-dispersed data will also be covered.


Prerequisites

All exercises assume you have R and RStudio installed on your own laptop.

Understanding of basic inferential statistics: hypothesis testing (e.g. t-tests), p-values, statistical significance is mandatory.

This course is not an introduction to R. Basic/fair knowledge of R (working with datasets, statistical analysis of variables) is mandatory.


Background readings

Agresti, Alan (2013). Categorical Data Analysis. Third Edition. Hoboken, New Jersey: John Wiley & Sons.


Fee

PhDs and postdocs of a Flemish university: free of charge
Other academics, non-profit/social sector: €450
Private sector: €1200


Venue

The course will be taught on campus conditionally on university policy regarding COVID19.

The venue is city campus of Antwerp University. Rooms will specified later.


Instructor

dr. Jarl Kampen & dr. Martial Luyts


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