Kathleen M Gates

Affiliations: 
Quantitative Psychology University of North Carolina, Chapel Hill, Chapel Hill, NC 
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Fisher ZF, Parsons J, Gates KM, et al. (2023) Blind Subgrouping of Task-based fMRI. Psychometrika
Arizmendi CJ, Bernacki ML, Raković M, et al. (2022) Predicting student outcomes using digital logs of learning behaviors: Review, current standards, and suggestions for future work. Behavior Research Methods
Luo L, Fisher ZF, Arizmendi C, et al. (2022) Estimating both directed and undirected contemporaneous relations in time series data using hybrid-group iterative multiple model estimation. Psychological Methods
Weigard A, Lane S, Gates K, et al. (2021) The influence of autoregressive relation strength and search strategy on directionality recovery in group iterative multiple model estimation. Psychological Methods
Ye A, Gates KM, Henry TR, et al. (2021) Path and Directionality Discovery in Individual Dynamic Models: A Regularized Unified Structural Equation Modeling Approach for Hybrid Vector Autoregression. Psychometrika
Urban CJ, Gates KM. (2021) Deep learning: A primer for psychologists. Psychological Methods
Duffy KA, Fisher ZF, Arizmendi CA, et al. (2021) Detecting task-dependent functional connectivity in GIMME with person-specific hemodynamic response functions. Brain Connectivity
Greene JA, Plumley RD, Urban CJ, et al. (2021) Modeling temporal self-regulatory processing in a higher education biology course Learning and Instruction. 72: 101201
Arizmendi C, Gates K, Fredrickson B, et al. (2020) Specifying exogeneity and bilinear effects in data-driven model searches. Behavior Research Methods
Fisher ZF, Chow SM, Molenaar PCM, et al. (2020) A Square-Root Second-Order Extended Kalman Filtering Approach for Estimating Smoothly Time-Varying Parameters. Multivariate Behavioral Research. 1-19
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