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Dexin Shi

Affiliations: 
University of South Carolina, Columbia, SC 
Area:
Quantitative Psychology
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"Dexin Shi"
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Parents

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Hairong Song grad student 2010-2016 University of Oklahoma
Robert A Terry grad student 2010-2016 University of Oklahoma
Alberto Maydeu-Olivares post-doc 2016-2018 University of South Carolina

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Publications

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Shi D, Zhang B, Liu R, et al. (2023) Evaluating Close Fit in Ordinal Factor Analysis Models With Multiply Imputed Data. Educational and Psychological Measurement. 84: 171-189
Shi D, Fairchild AJ, Wiedermann W. (2023) One step at a time: A statistical approach for distinguishing mediators, confounders, and colliders using direction dependence analysis. Psychological Methods
Wiedermann W, Zhang B, Shi D. (2023) Detecting heterogeneity in the causal direction of dependence: A model-based recursive partitioning approach. Behavior Research Methods
Jiang Z, Han Y, Xu L, et al. (2022) The NEAT Equating Via Chaining Random Forests in the Context of Small Sample Sizes: A Machine-Learning Method. Educational and Psychological Measurement. 83: 984-1006
Han Y, Zhang J, Jiang Z, et al. (2022) Is the Area Under Curve Appropriate for Evaluating the Fit of Psychometric Models? Educational and Psychological Measurement. 83: 586-608
Liu R, Heo I, Liu H, et al. (2022) Applying Negative Binomial Distribution in Diagnostic Classification Models for Analyzing Count Data. Applied Psychological Measurement. 47: 64-75
Jiang Z, Raymond M, DiStefano C, et al. (2021) A Monte Carlo Study of Confidence Interval Methods for Generalizability Coefficient. Educational and Psychological Measurement. 82: 705-718
Liu R, Liu H, Shi D, et al. (2021) Poisson Diagnostic Classification Models: A Framework and an Exploratory Example. Educational and Psychological Measurement. 82: 506-516
Shi D, DiStefano C, Zheng X, et al. (2021) Fitting Latent Growth Models with Small Sample Sizes and Non-normal Missing Data. International Journal of Behavioral Development. 45: 179-192
Shi D, DiStefano C, Maydeu-Olivares A, et al. (2021) Evaluating SEM Model Fit with Small Degrees of Freedom. Multivariate Behavioral Research. 1-36
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