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Yamaguchi, Kazuhiro – Journal of Educational and Behavioral Statistics, 2023
Understanding whether or not different types of students master various attributes can aid future learning remediation. In this study, two-level diagnostic classification models (DCMs) were developed to represent the probabilistic relationship between external latent classes and attribute mastery patterns. Furthermore, variational Bayesian (VB)…
Descriptors: Bayesian Statistics, Classification, Statistical Inference, Sampling
Stapleton, Laura M.; Kang, Yoonjeong – Sociological Methods & Research, 2018
This research empirically evaluates data sets from the National Center for Education Statistics (NCES) for design effects of ignoring the sampling design in weighted two-level analyses. Currently, researchers may ignore the sampling design beyond the levels that they model which might result in incorrect inferences regarding hypotheses due to…
Descriptors: Probability, Hierarchical Linear Modeling, Sampling, Inferences
Puncochar, Judith; Klett, Mitchell – Research & Practice in Assessment, 2013
The goals of a Liberal Studies education are designed to prepare citizens to live responsible, productive, and creative lives in a changing world. Ideally, a liberal education fosters well-grounded intellectuals with dispositions toward learning and an acceptance of responsibility regarding their ideas and actions. To measure the efficacy of a…
Descriptors: Undergraduate Students, Models, Science Achievement, Inquiry