Interactions in statistical models are never especially easy to interpret. Throw in non-normal outcome variables and non-linear prediction functions and they become even more difficult to understand. (more…)
Member Training: Interactions in Poisson and Logistic Regression
May 1st, 2023 by TAF SupportMember Training: Using Macros, Loops, and Functions in Stata to Manage Your Data Software Tutorial
March 31st, 2023 by TAF Support
Many data sets are challenging and time consuming to work with because the data are seldom in an optimal format.
Member Training: Moderated Mediation, Not Mediated Moderation
February 28th, 2023 by TAF SupportModerated mediation, also known as Conditional Process Modeling, is great tool for understanding one type of complex relationship among variables.
Member Training: The Link Between ANOVA and Regression
January 31st, 2023 by TAF SupportIf you’ve used much analysis of variance (ANOVA), you’ve probably heard that ANOVA is a special case of linear regression. Unless you’ve seen why, though, that may not make a lot of sense. After all, ANOVA compares means between categories, while regression predicts outcomes with numeric variables.
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Member Training: Multinomial Logistic Regression
December 30th, 2022 by TAF SupportMultinomial 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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Member Training: Centering
November 30th, 2022 by TAF SupportCentering 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…)