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Direct linkWetzel, 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
Download full textKiray, S. Ahmet; Gok, Bilge; Bozkir, A. Selman – Online Submission, 2015
The purpose of this article is to identify the order of significance of the variables that affect science and mathematics achievement in middle school students. For this aim, the study deals with the relationship between science and math in terms of different angles using the perspectives of multiple causes-single effect and of multiple…
Descriptors: Science Achievement, Mathematics Achievement, Information Retrieval, Data Analysis
Bouhlila, Donia Smaali; Sellaouti, Fethi – Large-scale Assessments in Education, 2013
In this paper, we document a study that involved applying a multiple imputation technique with chained equations to data drawn from the 2007 iteration of the TIMSS database. More precisely, we imputed missing variables contained in the student background datafile for Tunisia (one of the TIMSS 2007 participating countries), by using Van Buuren,…
Descriptors: Databases, Student Characteristics, Error of Measurement, Intervals
Kiray, S. Ahmet; Gok, Bilge; Bozkir, A. Selman – Journal of Education in Science, Environment and Health, 2015
The purpose of this article is to identify the order of significance of the variables that affect science and mathematics achievement in middle school students. For this aim, the study deals with the relationship between science and math in terms of different angles using the perspectives of multiple causes-single effect and of multiple…
Descriptors: Science Achievement, Information Retrieval, Data Analysis, Middle School Students
