Multinomial logistic regression is an important type of categorical data analysis. Specifically, it’s used when your response variable is nominal: more than two categories and not ordered.
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TAF Support
Member Training: Multinomial Logistic Regression
December 30th, 2022 by TAF Support
Member Training: Centering
November 30th, 2022 by TAF Support
Centering variables is common practice in some areas, and rarely seen in others. That being the case, it isn’t always clear what are the reasons for centering variables. 
Is it only a matter of preference, or does centering variables help with analysis and interpretation? (more…)
Member Training: Translating Between Multilevel and Mixed Models
October 31st, 2022 by TAF Support
Multilevel and Mixed models are essentially the same analysis. But they use different vocabulary, different notation, and approach the analysis considerations in different ways.
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Member Training: Introduction to Stata Software Tutorial
September 30th, 2022 by TAF Support
In this 8-part tutorial, you will learn how to get started using Stata for data preparation, analysis, and graphing. This tutorial will give you the skills to start using Stata on your own. You will need a license to Stata and to have it installed before you begin.
Member Training: Analyzing Likert Scale Data
August 31st, 2022 by TAF Support
Is it really ok to treat Likert items as continuous? 
And can you just decide to combine Likert items to make a scale? Likert-type data is extremely common—and so are questions like these about how to analyze it appropriately. (more…)
Member Training: A Gentle Introduction to Bootstrapping
July 28th, 2022 by TAF Support
Bootstrapping is a methodology derived by Bradley Efron in the 1980s that provides a reasonable approximation to the sampling distribution of various “difficult” statistics. Difficult statistics are those where there is no mathematical theory to establish a distribution.