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Research
Recent Faculty Publications
Recent Faculty Publications
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Faculty
Barbara Andersen
Hal Arkes
Riana Brown
Amy Brunell
Melissa Buelow
Patrick Carroll
Jennifer Cheavens
Gyeongcheol Cho
Laurence Coutellier
Lisa Cravens-Brown
Ido Erev
Russell Fazio
Kentaro Fujita
Julie Golomb
Jeremy Grant
Kurt Gray
Joseph P. Green
Jasmeet Hayes
Scott Hayes
Julie Hupp
Richard Jagacinski
Melissa Jungers
Elizabeth Kirby
Jennifer Kowalsky
Peter Kvam
Andrew Leber
Luc Lecavalier
Kathryn Lenz
Benedetta Leuner
Hsin-Hung Li
Kristen Lindquist
Philip Mazzocco
Gail McKoon
Jay Myung
Bradley Okdie
John Opfer
David Osher
Nikole Patson
Jolynn Pek
Stephen Petrill
Richard Petty
Mark Pitt
Ruchika Prakash
Roger Ratcliff
Megan Renna
Chris Robinson
Zeynep Saygin
Sarah Schoppe-Sullivan
Megha Sehgal
Dennis Shaffer
Brynn Sherman
Brittany Shoots-Reinhard
Vladimir Sloutsky
Joshua Smyth
Matt Southward
Steven Spencer
Daniel Strunk
Marc J. Tassé
Virginia Tompkins
Brandon Turner
Tracy Tylka
Dylan Wagner
Laura Wagner
Katherine Walton
Baldwin Way
Duane Wegener
James Wirth
Sami Yousif
Faculty Research Area(s)
Behavioral Neuroscience
Clinical Psychology
Cognitive Neuroscience
Cognitive Psychology
Decision Psychology
Developmental Psychology
Intellectual and Developmental Disabilities
Quantitative Psychology
Social Psychology
Year
2021
2022
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2025
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Title
Faculty
Author(s)
Faculty Research Area(s)
Year
Comparison of Component-Based Structural Equation Modeling Methods in Testing Component Interaction Effects
Gyeongcheol Cho
Zhiyuan Shen, Gyeongcheol Cho, Heungsun Hwang
Quantitative Psychology
2025
Influence of genetic polymorphism and trauma on cortical structures and PTSD severity: Imaging genetics generalized structured component analysis
Gyeongcheol Cho
Min Jin Jin, Gyeongcheol Cho, Hyeonjin Jeon, Younyoung Choi, Heungsun Hwang, Seung-Hwan Lee
Quantitative Psychology
2025
Regularized Structural Equation Modeling with Both Factors and Components
Gyeongcheol Cho
Gyeongcheol Cho, Ji Yeh Choi, Marko Sarstedt, Heungsun Hwang
Quantitative Psychology
2025
Generalized structured component analysis accommodating convex components: A knowledge-based multivariate method with interpretable composite indexes
Gyeongcheol Cho
Gyeongcheol Cho, Heungsun Hwang
Quantitative Psychology
2024
Deep learning generalized structured component analysis: A knowledge-based multivariate predictive method
Gyeongcheol Cho
Gyeongcheol cho, Heungsun Hwang
Quantitative Psychology
2023
Structured factor analysis: A data matrix-based alternative approach to structural equation modeling
Gyeongcheol Cho
Gyeongcheol Cho, Heungsun Hwang
Quantitative Psychology
2023
A comparative evaluation of factor- and component-based structural equation modeling methods under (in)consistent model specifications
Gyeongcheol Cho
Gyeongcheol Cho, Marko Sarstedt, Heungsun Hwang
Quantitative Psychology
2022
An approach to structural equation modeling with both factors and components: Integrated generalized structured component analysis
Gyeongcheol Cho
Heungsun Hwang, Gyeongcheol Cho, Kwanghee Jung, Carl F Falk, Jessica Kay Flake, Min Jin Jin, Seung Hwan Lee
Quantitative Psychology
2021