Many data sets are challenging and time consuming to work with because the data are seldom in an optimal format.
Many data sets are challenging and time consuming to work with because the data are seldom in an optimal format.
Moderated mediation, also known as Conditional Process Modeling, is great tool for understanding one type of complex relationship among variables.
If 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.
(more…)
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.
(more…)
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…)
Multilevel and Mixed models are essentially the same analysis. But they use different vocabulary, different notation, and approach the analysis considerations in different ways.
(more…)