The only place I have encountered this argument is in multilevel approaches, but obviously it could include logistic and linear regression generally.
" As with other forms of regression models, the analysis of multilevel data should incorporate the centering of predictor variables to yield the correct interpretation of intercept values and predictors of interest (Enders & Tofighi, 2007; Hofmann & Gavin, 1998).Predictor variables can be group-mean or grand-mean centered, depending on the primary focus of the research question. For a well-written discussion on the pros and cons of the two approaches to centering predictor variables, we refer readers to Enders and Tofighi (2007). In the examples presented in our paper, we utilized both binary and standardized predictors, therefore, our variables already had a “meaningful zero” value for interpretation of the intercept and other predictors of interest."
I have two questions.
Is it best practice to center predictors if the models are multilevel?
If your predictors are all dummy variables or standardized variables is it the case you do not center these? I assume if some are standardized or dummies then you do not center these, you center only interval variables.
I have rarely run into this advice in linear or logistic regression.
" As with other forms of regression models, the analysis of multilevel data should incorporate the centering of predictor variables to yield the correct interpretation of intercept values and predictors of interest (Enders & Tofighi, 2007; Hofmann & Gavin, 1998).Predictor variables can be group-mean or grand-mean centered, depending on the primary focus of the research question. For a well-written discussion on the pros and cons of the two approaches to centering predictor variables, we refer readers to Enders and Tofighi (2007). In the examples presented in our paper, we utilized both binary and standardized predictors, therefore, our variables already had a “meaningful zero” value for interpretation of the intercept and other predictors of interest."
I have two questions.
Is it best practice to center predictors if the models are multilevel?
If your predictors are all dummy variables or standardized variables is it the case you do not center these? I assume if some are standardized or dummies then you do not center these, you center only interval variables.
I have rarely run into this advice in linear or logistic regression.
