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Direct linkLiu, Yang; Wang, Xiaojing – Journal of Educational and Behavioral Statistics, 2020
Parametric methods, such as autoregressive models or latent growth modeling, are usually inflexible to model the dependence and nonlinear effects among the changes of latent traits whenever the time gap is irregular and the recorded time points are individually varying. Often in practice, the growth trend of latent traits is subject to certain…
Descriptors: Bayesian Statistics, Nonparametric Statistics, Regression (Statistics), Item Response Theory
