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Bulut, Okan; Quo, Qi; Gierl, Mark J. – Large-scale Assessments in Education, 2017
Position effects may occur in both paper--pencil tests and computerized assessments when examinees respond to the same test items located in different positions on the test. To examine position effects in large-scale assessments, previous studies often used multilevel item response models within the generalized linear mixed modeling framework.…
Descriptors: Structural Equation Models, Educational Assessment, Measurement, Test Items
Jackson, Dennis L.; Voth, Jennifer; Frey, Marc P. – Structural Equation Modeling: A Multidisciplinary Journal, 2013
Determining an appropriate sample size for use in latent variable modeling techniques has presented ongoing challenges to researchers. In particular, small sample sizes are known to present concerns over sampling error for the variances and covariances on which model estimation is based, as well as for fit indexes and convergence failures. The…
Descriptors: Sample Size, Factor Analysis, Measurement, Models
Pietarinen, Janne; Pyhältö, Kirsi; Soini, Tiina – Curriculum Journal, 2017
The study aims to gain a better understanding of the national large-scale curriculum process in terms of the used implementation strategies, the function of the reform, and the curriculum coherence perceived by the stakeholders accountable in constructing the national core curriculum in Finland. A large body of school reform literature has shown…
Descriptors: Foreign Countries, Educational Change, Curriculum Implementation, Educational Strategies
Cormier, Damien C.; Yeo, Seungsoo; Christ, Theodore J.; Offrey, Laura D.; Pratt, Katherine – Exceptionality, 2016
The purpose of this study is to evaluate the relationship of mathematics calculation rate (curriculum-based measurement of mathematics; CBM-M), reading rate (curriculum-based measurement of reading; CBM-R), and mathematics application and problem solving skills (mathematics screener) among students at four levels of proficiency on a statewide…
Descriptors: Computation, Problem Solving, Grade 3, Elementary School Students
Depaoli, Sarah – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Parameter recovery was assessed within mixture confirmatory factor analysis across multiple estimator conditions under different simulated levels of mixture class separation. Mixture class separation was defined in the measurement model (through factor loadings) and the structural model (through factor variances). Maximum likelihood (ML) via the…
Descriptors: Markov Processes, Factor Analysis, Statistical Bias, Evaluation Research

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