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DeMars, Christine E. – International Journal of Testing, 2013
This tutorial addresses possible sources of confusion in interpreting trait scores from the bifactor model. The bifactor model may be used when subscores are desired, either for formative feedback on an achievement test or for theoretically different constructs on a psychological test. The bifactor model is often chosen because it requires fewer…
Descriptors: Test Interpretation, Scores, Models, Correlation
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Wetzel, Eunike; Xu, Xueli; von Davier, Matthias – Educational and Psychological Measurement, 2015
In large-scale educational surveys, a latent regression model is used to compensate for the shortage of cognitive information. Conventionally, the covariates in the latent regression model are principal components extracted from background data. This operational method has several important disadvantages, such as the handling of missing data and…
Descriptors: Surveys, Regression (Statistics), Models, Research Methodology
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Hansson, Ase; Gustafsson, Jan-Eric – Scandinavian Journal of Educational Research, 2013
Socioeconomic status (SES) is often used as control variable when relations between academic outcomes and students' migrational background are investigated. When measuring SES, indicators used must have the same meaning across groups. This study aims to examine the measurement invariance of SES, using data from TIMSS, 2003. The study shows that a…
Descriptors: Socioeconomic Status, Error of Measurement, Immigrants, Outcomes of Education
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Cho, Mee-Ok; Scherman, Vanessa; Gaigher, Estelle – African Journal of Research in Mathematics, Science and Technology Education, 2012
This paper reports on secondary analysis of TIMSS 2003 data, based on a sound conceptual model, aiming to explain differential science achievement in South Africa from the perspective of educational effectiveness research. The conceptual framework was developed by refining existing school effectiveness models and including factors related to…
Descriptors: Science Education, Instructional Effectiveness, Correlation, Hierarchical Linear Modeling