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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 …
A Preliminary Evaluation Of An Academic Support Program, James Colin Bumby
A Preliminary Evaluation Of An Academic Support Program, James Colin Bumby
Theses and Dissertations
The responsibility for graduating students is a school responsibility. A large urban Midwestern research university created the Nursing Endeavor Program (NEP) to ensure that students from underserved minorities, first generation, and/or low income are enabled to graduate successfully. There is a 100% retention rate for the period from admission to the nursing major in the junior year; however, in the pre-nursing years, the retention rate is only 50%. The role transition from pre-nursing student to student nurse can be challenging and stressful. A qualitative phenomenographic research approach was utilized to identify the factors facilitating and the factors hindering this transition. …