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Sulis, Isabella; Toland, Michael D. – Journal of Early Adolescence, 2017
Item response theory (IRT) models are the main psychometric approach for the development, evaluation, and refinement of multi-item instruments and scaling of latent traits, whereas multilevel models are the primary statistical method when considering the dependence between person responses when primary units (e.g., students) are nested within…
Descriptors: Hierarchical Linear Modeling, Item Response Theory, Psychometrics, Evaluation Methods
Pokropek, Artur – Sociological Methods & Research, 2015
This article combines statistical and applied research perspective showing problems that might arise when measurement error in multilevel compositional effects analysis is ignored. This article focuses on data where independent variables are constructed measures. Simulation studies are conducted evaluating methods that could overcome the…
Descriptors: Error of Measurement, Hierarchical Linear Modeling, Simulation, Evaluation Methods
Moon, John L. – ProQuest LLC, 2013
The purpose of this study was to investigate the relationship between student mathematics performance of 4th, 8th, and 11th grade students in Nebraska and the mode of test administration, online and paper-pencil. Schools were allowed to select the mode of test administration for their school with some exceptions for students needing…
Descriptors: Mathematics Achievement, Grade 4, Grade 8, Grade 11
Ochwo, Pius – ProQuest LLC, 2013
This study examined the multilevel factors that influence mathematics and English performance on the Primary Leaving Examinations (PLEs) among primary seven pupils (i.e., equivalent to the United States [U.S.] 7th graders) in Uganda. Existing student state test data from the Wakiso District were obtained. In addition, a newly created Teacher…
Descriptors: Foreign Countries, Teacher Characteristics, Student Characteristics, Institutional Characteristics