Search results for author:"John J. McArdle"
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Structural Equation Modeling: A Multidisciplinary Journal Vol. 19, No. 4 (2012) pp. 651–682
In recent years the use of the latent curve model (LCM) among researchers in social sciences has increased noticeably, probably thanks to contemporary software developments and the availability of specialized literature. Extensions of the LCM, like...
Modeling Latent Growth Curves With Incomplete Data Using Different Types of Structural Equation Modeling and Multilevel Software
Structural Equation Modeling: A Multidisciplinary Journal Vol. 11, No. 3 (Jul 01, 2004) pp. 452–483
This article offers different examples of how to fit latent growth curve (LGC) models to longitudinal data using a variety of different software programs (i.e., LISREL, Mx, Mplus, AMOS, SAS). The article shows how the same model can be fitted using...
Structural Equation Modeling: A Multidisciplinary Journal Vol. 15, No. 4 (October 2008) pp. 705–728
Bayesian methods are becoming very popular despite some practical difficulties in implementation. To assist in the practical application of Bayesian methods, we show how to implement Bayesian analysis with WinBUGS as part of a standard set of SAS...
A Multilevel Multivariate Analysis of Academic Performances in College Based on NCAA Student-Athletes
Multivariate Behavioral Research Vol. 48, No. 1 (2013) pp. 57–95
This is an application of contemporary multilevel regression modeling to the prediction of academic performances of 1st-year college students. At a first level of analysis, the data come from N greater than 16,000 students who were college freshman...