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Park, Jungkyu; Yu, Hsiu-Ting – Educational and Psychological Measurement, 2016
The multilevel latent class model (MLCM) is a multilevel extension of a latent class model (LCM) that is used to analyze nested structure data structure. The nonparametric version of an MLCM assumes a discrete latent variable at a higher-level nesting structure to account for the dependency among observations nested within a higher-level unit. In…
Descriptors: Hierarchical Linear Modeling, Nonparametric Statistics, Data Analysis, Simulation
Hardin, J. Michael; Anderson, Billie S.; Woodby, Lesa L.; Crawford, Myra A.; Russell, Toya V. – Evaluation Review, 2008
This article explores the statistical methodologies used in demonstration and effectiveness studies when the treatments are applied across multiple settings. The importance of evaluating and how to evaluate these types of studies are discussed. As an alternative to standard methodology, the authors of this article offer an empirical binomial…
Descriptors: Bayesian Statistics, Alternative Assessment, Data Analysis, Statistical Studies
Keeves, John P.; Lietz, Petra; Gregory, Kelvin; Darmawan, I Gusti Ngurah – International Education Journal, 2006
In this lead article three emergent problems in the analysis of cross-national survey data are raised in a context of 40 years of research and development in a field where persistent problems have arisen and where scholars across the world have sought solutions. Anomalous results have been found from secondary data analyses that would appear to…
Descriptors: Research and Development, Academic Achievement, Computation, National Surveys

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