Senior Professor, USC
Ph.D., Hosfra University
John J. (Jack) McArdle, Ph.D., is now Senior Professor of Psychology at the University of Southern California (USC) where he heads the Quantitative Methods training program. He received a BA from Franklin & Marshall College in 1973 and the PhD from Hofstra University (in Hempstead, NY) in 1977 and moved to the University of Denver as an NIH Postdoctoral Fellow to work with Dr. John L. Horn. In 1984 he moved to the University of Virginia to start a quantitative methods program, and in 2005 he moved to USC (with John L. Horn) to do the same.
He now mentors several seriously committed graduate students at USC. In past research, he has created the RAMpath system for Structural Equation Modeling (see Horn & McArdle, 1980; McArdle & Boker, 1990; Zhang, et al, 2015), he has dealt with incomplete data in SEM (see Horn & McArdle, 1980; McArdle & Hamagami, 1992; McArdle, 1994), he has created several new longitudinal approaches to data analysis focused on changes (see McArdle & Hamagamai, 2001), he has advocated measuring people at randomly selected intervals of testing to maximize the timelag between tests (see McArdle & Woodcock, 1997: McArdle et al., 2002), he showed how the IRT can be used to produce Block Adaptive cognitive tests for the HRS (see McArdle, 2010). He has also written two books, called “Longitudinal Data Analysis Using Structural Equation Modeling” and “Applications of Longitudinal Data Analysis Using Structural Equation Modeling” (with J.R. Nesselroade, APA Books, 2014, 2015), and he has edited a book called “Contemporary Issues in Exploratory Data Mining” (with G. Ritschard, Routledge Press, 2014). Jack was recently awarded an NIH-MERIT grant from the National Institute on Aging for his work on “Longitudinal and Adaptive Testing of Adult Cognition.” (2005-2016). He has also been heavily involved with research on the Academic Skills of College Student- Athletes with the National Collegiate Athletics Association (NCAA; 1989-2016).