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Determining Predictor Importance In Multilevel Models For Longitudinal Data: An Extension Of Dominance Analysis, Luciana Pacheco Cancado
Determining Predictor Importance In Multilevel Models For Longitudinal Data: An Extension Of Dominance Analysis, Luciana Pacheco Cancado
Theses and Dissertations
Longitudinal models are used not only to analyze the change of an outcome over time but also to describe what person-level and time-varying factors might influence this trend. Whenever a researcher is interested in the factors or predictors impacting an outcome, a common follow-up question asked is that of the relative importance of such factors. Hence, this study aimed to extend and evaluate Dominance Analysis (DA), a method used to determine the relative importance of predictors in various linear models (Budescu, 1993; Azen & Budescu, 2003; Azen, 2013), for use with longitudinal multilevel models. A simulation study was conducted to …