John McArdle

Affiliations: 
University of Southern California, Los Angeles, CA, United States 
Google:
"John McArdle"
Mean distance: 19.21 (cluster 13)
 
SNBCP

Children

Sign in to add trainee
Timothy Hayes grad student 2013- USC
Ross Jacobucci grad student 2013- USC
Sarfaraz Serang grad student 2013- USC
Fumiaki Hamagami grad student 1994 UVA
Thomas Paskus grad student 1998 UVA
Alphonse Damas grad student 2002 UVA
Emilio Ferrer grad student 2003 UVA
Emilio Ferrer Caja grad student 2003 UVA
Frederick L. Smyth grad student 2004 UVA
Ryan P. Bowles grad student 2006 UVA
Kevin J. Grimm grad student 2001-2006 UVA
Yan Zhou grad student 2006-2011 USC
John J. Prindle grad student 2012 USC
Erin D. Shelton grad student 2013 USC
Kevin T. Petway grad student 2008-2013 USC
Yusuke Kuroki grad student 2014 USC
Randy Bautista grad student 2011-2016 USC
Prapti Gautam post-doc 2014- USC
Eli Tsukayama post-doc 2014- USC (PsychTree)
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Jacobucci R, Grimm KJ, McArdle JJ. (2017) A Comparison of Methods for Uncovering Sample Heterogeneity: Structural Equation Model Trees and Finite Mixture Models. Structural Equation Modeling : a Multidisciplinary Journal. 24: 270-282
Hayes T, McArdle JJ. (2017) Evaluating the Performance of CART-Based Missing Data Methods Under a Missing Not at Random Mechanism. Multivariate Behavioral Research. 1-2
Brandmaier AM, Prindle JJ, McArdle JJ, et al. (2016) Theory-guided exploration with structural equation model forests. Psychological Methods. 21: 566-582
Jacobucci R, Grimm KJ, McArdle JJ. (2016) Regularized Structural Equation Modeling. Structural Equation Modeling : a Multidisciplinary Journal. 23: 555-566
Jacobucci R, McArdle JJ. (2015) Regularized Structural Equation Modeling. Multivariate Behavioral Research. 50: 736
Usami S, Hayes T, McArdle JJ. (2015) On the Mathematical Relationship Between Latent Change Score and Autoregressive Cross-Lagged Factor Approaches: Cautions for Inferring Causal Relationship Between Variables. Multivariate Behavioral Research. 50: 676-87
Hayes T, Usami S, Jacobucci R, et al. (2015) Using Classification and Regression Trees (CART) and Random Forests to Analyze Attrition: Results From Two Simulations. Psychology and Aging
Chen JC, Wang X, Wellenius GA, et al. (2015) Ambient Air Pollution and Neurotoxicity on Brain Structure: Evidence from Women's Health Initiative Memory Study. Annals of Neurology
Larsen AL, McArdle JJ, Robertson T, et al. (2015) Four Dietary Items of the School Physical Activity and Nutrition (SPAN) Questionnaire Form a Robust Latent Variable Measuring Healthy Eating Patterns. Journal of Nutrition Education and Behavior. 47: 253-8
Larsen AL, McArdle JJ, Robertson T, et al. (2015) Nutrition self-efficacy is unidirectionally related to outcome expectations in children. Appetite. 84: 166-70
See more...