Search Results - "McArdle, John"

Latent Variable Modeling of Differences and Changes with Longitudinal Data by MCARDLE, John J

“…This review considers a common question in data analysis: What is the most useful way to analyze longitudinal repeated measures data? We discuss some…”
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Longitudinal Modeling of Developmental Changes in Psychological Research by Ferrer, Emilio, McArdle, John J.

“…In this article we provide a review of recent advances in longitudinal models for multivariate change. We first claim the need for dynamic modeling approaches…”
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Regularized Structural Equation Modeling by Jacobucci, Ross, Grimm, Kevin J., McArdle, John J.

“…A new method is proposed that extends the use of regularization in both lasso and ridge regression to structural equation models. The method is termed…”
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Using Classification and Regression Trees (CART) and Random Forests to Analyze Attrition: Results From Two Simulations by Hayes, Timothy, Usami, Satoshi, Jacobucci, Ross, McArdle, John J.

“…In this article, we describe a recent development in the analysis of attrition: using classification and regression trees (CART) and random forest methods to…”
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Ambient air pollution and neurotoxicity on brain structure: Evidence from women's health initiative memory study by Chen, Jiu-Chiuan, Wang, Xinhui, Wellenius, Gregory A., Serre, Marc L., Driscoll, Ira, Casanova, Ramon, McArdle, John J., Manson, JoAnn E., Chui, Helena C., Espeland, Mark A.

“…Objective The aim of this study was to examine the putative adverse effects of ambient fine particulate matter (PM2.5: PM with aerodynamic diameters <2.5μm) on…”
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Rationale and Applications of Survival Tree and Survival Ensemble Methods by Zhou, Yan, McArdle, John J.

“…Classification and Regression Trees (CART), and their successors—bagging and random forests, are statistical learning tools that are receiving increasing…”
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Structural Equation Model Trees by Brandmaier, Andreas M, von Oertzen, Timo, McArdle, John J, Lindenberger, Ulman

“…In the behavioral and social sciences, structural equation models (SEMs) have become widely accepted as a modeling tool for the relation between latent and…”
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Theory-Guided Exploration With Structural Equation Model Forests by Brandmaier, Andreas M, Prindle, John J, McArdle, John J, Lindenberger, Ulman

“…Structural equation model (SEM) trees, a combination of SEMs and decision trees, have been proposed as a data-analytic tool for theory-guided exploration of…”
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Successful Emotion Regulation Skills Application Predicts Subsequent Reduction of Symptom Severity During Treatment of Major Depressive Disorder by Radkovsky, Anna, McArdle, John J, Bockting, Claudi L. H, Berking, Matthias

“…Objective: Deficits in emotion regulation (ER) skills are considered a putative maintaining factor for major depressive disorder (MDD) and hence a promising…”
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Genetic variants specific to aging-related verbal memory: Insights from GWASs in a population-based cohort by Arpawong, Thalida E, Pendleton, Neil, Mekli, Krisztina, McArdle, John J, Gatz, Margaret, Armoskus, Chris, Knowles, James A, Prescott, Carol A

“…Verbal memory is typically studied using immediate recall (IR) and delayed recall (DR) scores, although DR is dependent on IR capability. Separating these…”
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Inferring Longitudinal Relationships Between Variables: Model Selection Between the Latent Change Score and Autoregressive Cross-Lagged Factor Models by Usami, Satoshi, Hayes, Timothy, McArdle, John J.

“…This research focuses on the problem of model selection between the latent change score (LCS) model and the autoregressive cross-lagged (ARCL) model when the…”
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Gender Differences in Cognition among Older Adults in China by Lei, Xiaoyan, Hu, Yuqing, McArdle, John J., Smith, James P., Zhao, Yaohui

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Latent Curve Models and Latent Change Score Models Estimated in R by Ghisletta, Paolo, McArdle, John J.

“…In recent years the use of the latent curve model (LCM) among researchers in social sciences has increased noticeably, probably thanks to contemporary software…”
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On the Mathematical Relationship Between Latent Change Score and Autoregressive Cross-Lagged Factor Approaches: Cautions for Inferring Causal Relationship Between Variables by Usami, Satoshi, Hayes, Timothy, McArdle, John J.

“…The present paper focuses on the relationship between latent change score (LCS) and autoregressive cross-lagged (ARCL) factor models in longitudinal designs…”
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Recent Changes Leading to Subsequent Changes: Extensions of Multivariate Latent Difference Score Models by Grimm, Kevin J., An, Yang, McArdle, John J., Zonderman, Alan B., Resnick, Susan M.

“…Latent difference score models (e.g., McArdle & Hamagami, 2001 ) are extended to include effects from prior changes to subsequent changes. This extension of…”
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Do Changes in Lifestyle Engagement Moderate Cognitive Decline in Normal Aging? Evidence From the Victoria Longitudinal Study by Small, Brent J., Dixon, Roger A., McArdle, John J., Grimm, Kevin J.

“…Objective: Do lifestyle activities buffer normal aging-related declines in cognitive performance? The emerging literature will benefit from theoretically…”
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Factor Structure and Predictive Validity of Somatic and Nonsomatic Symptoms From the Patient Health Questionnaire-9: A Longitudinal Study After Spinal Cord Injury by Krause, James S., PhD, Reed, Karla S., MA, McArdle, John J., PhD

“…Abstract Krause JS, Reed KS, McArdle JJ. Factor structure and predictive validity of somatic and nonsomatic symptoms from the Patient Health Questionnaire-9: a…”
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Barriers to scale: the effect of regulations on entrepreneurial strategies in a nascent industry by McArdle, John F, de Koning, Alice J, Sherifi, Arlinda

“…PurposeThis paper aims to discuss the effect of Canada’s regulatory framework on the strategies of entrepreneurial businesses during the first phase of…”
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Latent Variable Analyses of Age Trends of Cognition in the Health and Retirement Study, 1992-2004 by McArdle, John J, Fisher, Gwenith G, Kadlec, Kelly M

“…The present study was conducted to better describe age trends in cognition among older adults in the longitudinal Health and Retirement Study (HRS) from 1992…”
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Investigating Ceiling Effects in Longitudinal Data Analysis by Wang, Lijuan, Zhang, Zhiyong, McArdle, John J., Salthouse, Timothy A.

“…Score limitation at the top of a scale is commonly termed "ceiling effect." Ceiling effects can lead to serious artifactual parameter estimates in most data…”
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