HRS :: Introduction :: CoInvestigators and Committees :: CoInvestigator Details

Home \| Introduction \| Documentation \| Data Products \| Publications	DocuFinder \| Site Map \| Links \| Changes \| Statistics \| Help
	Loading

Introduction » Co-Investigators & Committees » Details

John J. McArdle	Contact Information University of Southern California Department of Psychology SGM 501 Los Angeles, CA 90089-1061 Phone: 213.740.2203 Email: JMCARDLE@USC.EDU	Education Post-Doc, University of Denver, Denver, CO M.A., Ph.D., Hofstra University, Hempstead, NY B.A., Franklin & Marshall College, Lancaster, PA
Co-Investigator Health and Retirement Study	Web site Curriculum Vitae
Research and Projects John J. (Jack) McArdle is a multivariate experimental psychologist. He is currently Professor of Psychology at University of Southern California. McArdle’s research has been focused on age-sensitive methods for psychological and educational measurement and longitudinal data analysis including published work has been in the area of factor analysis, growth curve analysis, and dynamic modeling of adult cognitive abilities.
Selected Recent Publications McArdle, John J.& Hamagami, F. Methods for dynamic change hypotheses. In K. van Montfort, J. Oud, & A. Satorra, pp. 295-335, Recent developments on structural equation models. Dordrecht: Kluwer Academic Publishers [2004] McArdle, John J.& Hamagami, F. Structural equation models for evaluating dynamic concepts within longitudinal twin analyses. Behavior Genetics, 33, 137-159 [2004] McArdle, John J.& Nesselroade, J.R. Growth curve analyses in contemporary psychological research. In J. Schinka & W. Velicer (Editors), Comprehensive Handbook of Psychology, Volume Two: Research Methods in Psychology. New York: Pergamon Press [2003] McArdle, J.J., Ferrer-Caja, E., Hamagami, F. & Woodcock, R.W. Comparative longitudinal longitudinal structural analyses of the growth and decline of multiple intellectual abilities over the life span. Developmental Psychology, 38(1), 115-142 [2002] McArdle, J.J., Hamagami, F., Meredith, W., & Bradway, K.P. Modeling the dynamic hypotheses of Gf-Gc theory using longitudinal life-span data. Learning and Individual Differences, 12 (2000), 53-79 [2001] McArdle, J.J. A latent difference score approach to longitudinal dynamic structural analyses. In R. Cudeck, S. du Toit, & D. Sorbom (Eds.). Structural Equation Modeling: Present and future. Lincolnwood, IL: Scientific Software International (pp. 342-380) [2001]

[Return to Co-Investigator Page]

Copyright © 2013 The Regents of the University of Michigan