John McArdle
Affiliations: | University of Southern California, Los Angeles, CA, United States |
Google:
"John McArdle"Mean distance: 19.21 (cluster 13) | S | N | B | C | P |
Parents
Sign in to add mentorPhilip H. Ramsey | grad student | Hofstra University | |
John L. Horn | post-doc | ||
Herman Wold | post-doc | Uppsala (MathTree) |
Children
Sign in to add traineeTimothy 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) |
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Publications
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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 |