Ethan M McCormick
Biographic Data
| ID | 5758340 |
|---|---|
| NAME | Ethan M McCormick |
| GIVEN NAMES | Ethan M |
| FAMILY NAME | McCormick |
| SIGNATURE | MCCORMICK E M |
| AFFILIATIONS | University of North Carolina at Chapel Hill |
| ORCID | 0000-0002-7919-4340 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Moderating the Consequences of Longitudinal Change for Distal Outcomes
There has been a growing interest in using earlier change to predict downstream distal outcomes in development; however, prior work has mostly focused on estimating the unique effect of the different growth parameters (e.g., intercept and slope) rather than focusing on the trajectory as a whole. Here I lay out a distal outcome latent curve model with latent interactions which attempts to model the joint effect of growth parameters on these later …
A Two-Step Estimator for Growth Mixture Models with Covariates in the Presence of Direct Effects
Growth mixture models (GMMs) are popular approaches for modeling unobserved population heterogeneity over time. GMMs can be extended with covariates, predicting latent class (LC) membership, the within-class growth trajectories, or both. However, current estimators are sensitive to misspecifications in complex models. We propose extending the two-step estimator for LC models to GMMs, which provides robust estimation against model misspecification…
Modeling Cycles, Trends and Time-Varying Effects in Dynamic Structural Equation Models with Regression Splines
Intensive longitudinal data with a large number of timepoints per individual are becoming increasingly common. Such data allow going beyond the classical growth model situation and studying population effects and individual variability not only in trends over time but also in autoregressive effects, cross-lagged effects, and the noise term. Dynamic structural equation models (DSEMs) have become very popular for analyzing intensive longitudinal da…
Uncovering Asymmetric Temporal Dynamics Using Threshold Dynamics Parameters
A prospective longitudinal study of the associations between childhood and adolescent interpersonal experiences and adult attachment orientations
Attachment theory (Bowlby, 1973, 1980, 1969/1982) suggests that early interpersonal experiences lay the foundation for the ways people think, feel, and behave in close relationships throughout life. The present study examined this fundamental assumption, analyzing longitudinal data collected from 705 participants and their families over 3 decades, from the time participants were infants until they were approximately 30 years old ( M age = 28.6, S…
Differential Behavioral and Neural Profiles in Youth With Conduct Problems During Risky Decision‐Making
Neuroimaging work has examined neural processes underlying risk taking in adolescence, yet predominantly in low-risk youth. To determine whether we can extrapolate from current neurobiological models, this functional magnetic resonance imaging study investigated risk taking and peer effects in youth with conduct problems (CP; N = 19) and typically developing youth (TD; N = 25). Results revealed higher real-life risk taking, lower risky decisions,…
Neural Correlates of Conflicting Social Influence on Adolescent Risk Taking
Adolescence is often characterized by heightened risk-taking behaviors, which are shaped by social influence from parents and peers. However, little is understood about how adolescents make risky decisions under conflicting influence. The valuation system in the brain may elucidate how adolescents differentially integrate conflicting social information. Twenty-eight adolescents (M age = 12.7 years) completed a social influence task during a funct…
Maternal emotion socialization in early childhood predicts adolescents’ amygdala-vmPFC functional connectivity to emotion faces
Guided by Eisenberg, Cumberland, and Spinrad's (1998) conceptual framework, we examined multiple components of maternal emotion socialization (i.e., reactions to children's negative emotion, emotion talk, emotional expressiveness) at 33 months of age as predictors of adolescents' amygdala-vmPFC connectivity and amygdala activation when labeling and passively observing angry and happy faces. For angry faces, more positive maternal emotion socializ…
Maternal emotion socialization in early childhood predicts adolescents’ amygdala-vmPFC functional connectivity to emotion faces
Guided by Eisenberg, Cumberland, and Spinrad's (1998) conceptual framework, we examined multiple components of maternal emotion socialization (i.e., reactions to children's negative emotion, emotion talk, emotional expressiveness) at 33 months of age as predictors of adolescents' amygdala-vmPFC connectivity and amygdala activation when labeling and passively observing angry and happy faces. For angry faces, more positive maternal emotion socializ…
Neural Correlates of Conflicting Social Influence on Adolescent Risk Taking
Adolescence is often characterized by heightened risk-taking behaviors, which are shaped by social influence from parents and peers. However, little is understood about how adolescents make risky decisions under conflicting influence. The valuation system in the brain may elucidate how adolescents differentially integrate conflicting social information. Twenty-eight adolescents (M age = 12.7 years) completed a social influence task during a funct…
Differential Behavioral and Neural Profiles in Youth With Conduct Problems During Risky Decision‐Making
Neuroimaging work has examined neural processes underlying risk taking in adolescence, yet predominantly in low-risk youth. To determine whether we can extrapolate from current neurobiological models, this functional magnetic resonance imaging study investigated risk taking and peer effects in youth with conduct problems (CP; N = 19) and typically developing youth (TD; N = 25). Results revealed higher real-life risk taking, lower risky decisions,…
Neural Correlates of Conflicting Social Influence on Adolescent Risk Taking
Adolescence is often characterized by heightened risk-taking behaviors, which are shaped by social influence from parents and peers. However, little is understood about how adolescents make risky decisions under conflicting influence. The valuation system in the brain may elucidate how adolescents differentially integrate conflicting social information. Twenty-eight adolescents (M age = 12.7 years) completed a social influence task during a funct…
Maternal emotion socialization in early childhood predicts adolescents’ amygdala-vmPFC functional connectivity to emotion faces
Guided by Eisenberg, Cumberland, and Spinrad's (1998) conceptual framework, we examined multiple components of maternal emotion socialization (i.e., reactions to children's negative emotion, emotion talk, emotional expressiveness) at 33 months of age as predictors of adolescents' amygdala-vmPFC connectivity and amygdala activation when labeling and passively observing angry and happy faces. For angry faces, more positive maternal emotion socializ…
Modeling Cycles, Trends and Time-Varying Effects in Dynamic Structural Equation Models with Regression Splines
Intensive longitudinal data with a large number of timepoints per individual are becoming increasingly common. Such data allow going beyond the classical growth model situation and studying population effects and individual variability not only in trends over time but also in autoregressive effects, cross-lagged effects, and the noise term. Dynamic structural equation models (DSEMs) have become very popular for analyzing intensive longitudinal da…
Uncovering Asymmetric Temporal Dynamics Using Threshold Dynamics Parameters
A prospective longitudinal study of the associations between childhood and adolescent interpersonal experiences and adult attachment orientations
Attachment theory (Bowlby, 1973, 1980, 1969/1982) suggests that early interpersonal experiences lay the foundation for the ways people think, feel, and behave in close relationships throughout life. The present study examined this fundamental assumption, analyzing longitudinal data collected from 705 participants and their families over 3 decades, from the time participants were infants until they were approximately 30 years old ( M age = 28.6, S…
Moderating the Consequences of Longitudinal Change for Distal Outcomes
There has been a growing interest in using earlier change to predict downstream distal outcomes in development; however, prior work has mostly focused on estimating the unique effect of the different growth parameters (e.g., intercept and slope) rather than focusing on the trajectory as a whole. Here I lay out a distal outcome latent curve model with latent interactions which attempts to model the joint effect of growth parameters on these later …
A Two-Step Estimator for Growth Mixture Models with Covariates in the Presence of Direct Effects
Growth mixture models (GMMs) are popular approaches for modeling unobserved population heterogeneity over time. GMMs can be extended with covariates, predicting latent class (LC) membership, the within-class growth trajectories, or both. However, current estimators are sensitive to misspecifications in complex models. We propose extending the two-step estimator for LC models to GMMs, which provides robust estimation against model misspecification…
Cognition (3 works) · Developmental psychology (3 works) · Mental Health Research Topics (3 works) · Neural correlates of consciousness (3 works) · Neuroscience (3 works) · Psychology (3 works) · Attachment and Relationship Dynamics (2 works) · Child and Adolescent Psychosocial and Emotional Development (2 works) · Computer Science (2 works) · Functional magnetic resonance imaging (2 works)