Ethan McCormick

Assistant Professor

Leiden University

Netherlands

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Dr. Ethan McCormick is an Assistant Professor at Universiteit Leiden, Netherlands. His research areas focus on longitudinal models, dynamic structural equation models, and the impact of social relationships on mental health. He has published multiple articles exploring topics such as asymmetric temporal dynamics, differential item functioning, and the effects of childhood adversity on mental health during the COVID-19 pandemic.

Articles (16)

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2025

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2025

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2024

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2022

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2022

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2021

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2021

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2020

Collaborators (10)

Natasha Duell

Assistant Professor

California Polytechnic State University

UNITED STATES

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Sanford Student

Assistant Professor of Educational Statistics and Research Methods

University of Delaware

UNITED STATES

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Rogier Kievit

Professor of Developmental Neuroscience

Radboud Universiteit Donders Institute for Brain Cognition and Behaviour

NETHERLANDS

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Øystein Sørensen

Associate Professor in Statistics (tenure track)

University of Oslo

NORWAY

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Stephen José Hanson

Full Professor, Director

Rutgers University

UNITED STATES

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Michael Cole

Associate Professor

Rutgers University

UNITED STATES

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Delia Fuhrmann

Lecturer

King’s College London

UNITED KINGDOM

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Christina Rogers

Assistant Professor

Texas Tech University

UNITED STATES

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Rhodri Cusack

Thomas Mitchell Professor of Cognitive Neuroscience

Trinity College Dublin

IRELAND

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Eva H Telzer

University of North Carolina at Chapel Hill

UNITED STATES

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Ethan McCormick

Research Interests

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About

Articles (16)

Uncovering Asymmetric Temporal Dynamics Using Threshold Dynamics Parameters

Digital Module 38: Differential Item Functioning by Multiple Variables Using Moderated Nonlinear Factor Analysis

Modeling Cycles, Trends and Time-Varying Effects in Dynamic Structural Equation Models with Regression Splines

Deriving Models of Change with Interpretable Parameters: Linear Estimation with Nonlinear Inference

Friendship buffering effects on mental health symptoms before and during the COVID-19 pandemic: A UK longitudinal study of young people with childhood adversity

Optimal two-time point longitudinal models for estimating individual-level change: Asymptotic insights and practical implications

How should we model the effect of “change”—Or should we?

Latent growth factors as predictors of distal outcomes.

The Hitchhiker’s guide to longitudinal models: A primer on model selection for repeated-measures methods

Differential processing of risk and reward in delinquent and non-delinquent youth

Poorer White Matter Microstructure Predicts Slower and More Variable Reaction Time Performance: Evidence for a Neural Noise Hypothesis in a Large Lifespan Cohort

Latent functional connectivity underlying multiple brain states

Using large, publicly available data sets to study adolescent development: opportunities and challenges

Multi-Level Multi-Growth Models: New opportunities for addressing developmental theory using advanced longitudinal designs with planned missingness

Longitudinal network re-organization across learning and development

Differential Behavioral and Neural Profiles in Youth With Conduct Problems During Risky Decision‐Making

Collaborators (10)

Natasha Duell

Sanford Student

Rogier Kievit

Øystein Sørensen

Stephen José Hanson

Michael Cole

Delia Fuhrmann

Christina Rogers

Rhodri Cusack

Eva H Telzer

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