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Direct linkLee, Taehun; Cai, Li – Journal of Educational and Behavioral Statistics, 2012
Model-based multiple imputation has become an indispensable method in the educational and behavioral sciences. Mean and covariance structure models are often fitted to multiply imputed data sets. However, the presence of multiple random imputations complicates model fit testing, which is an important aspect of mean and covariance structure…
Descriptors: Statistical Inference, Structural Equation Models, Goodness of Fit, Statistical Analysis
Scheerens, Jaap; Luyten, Hans; van den Berg, Stéphanie M.; Glas, Cees A. W. – Educational Research and Evaluation, 2015
As expectations of the economic impact of educational attainment are soaring (Hanushek & Woessmann, 2009) and conjectures about successful national educational reforms (Mourshed, Chijioke, & Barber, 2010) are welcomed by educational policy-makers in many countries, a careful assessment of the empirical evidence for these kinds of claims is…
Descriptors: Foreign Countries, Educational Attainment, Educational Change, Comparative Education
Goldstein, Harvey; Bonnet, Gerard; Rocher, Thierry – Journal of Educational and Behavioral Statistics, 2007
The Programme for International Student Assessment comparative study of reading performance among 15-year-olds is reanalyzed using statistical procedures that allow the full complexity of the data structures to be explored. The article extends existing multilevel factor analysis and structural equation models and shows how this can extract richer…
Descriptors: Foreign Countries, Structural Equation Models, Markov Processes, Factor Analysis
