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Johan Lyrvall; Zsuzsa Bakk; Jennifer Oser; Roberto Di Mari – Structural Equation Modeling: A Multidisciplinary Journal, 2024
We present a bias-adjusted three-step estimation approach for multilevel latent class models (LC) with covariates. The proposed approach involves (1) fitting a single-level measurement model while ignoring the multilevel structure, (2) assigning units to latent classes, and (3) fitting the multilevel model with the covariates while controlling for…
Descriptors: Hierarchical Linear Modeling, Statistical Bias, Error of Measurement, Simulation
Guskey, Thomas R. – Journal of Staff Development, 2016
Effective professional learning evaluation requires consideration of five critical stages or levels of information. These five levels, which are presented in this article, represent an adaptation of an evaluation model developed by Kirkpatrick (1959, 1998) for judging the value of supervisory training programs in business and industry.…
Descriptors: Hierarchical Linear Modeling, Outcomes of Education, Supervisory Training, Faculty Development
Beretvas, S. Natasha; Cawthon, Stephanie W.; Lockhart, L. Leland; Kaye, Alyssa D. – Educational and Psychological Measurement, 2012
This pedagogical article is intended to explain the similarities and differences between the parameterizations of two multilevel measurement model (MMM) frameworks. The conventional two-level MMM that includes item indicators and models item scores (Level 1) clustered within examinees (Level 2) and the two-level cross-classified MMM (in which item…
Descriptors: Test Bias, Comparative Analysis, Test Items, Difficulty Level