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Paul A. Jewsbury; Matthew S. Johnson – Large-scale Assessments in Education, 2025
The standard methodology for many large-scale assessments in education involves regressing latent variables on numerous contextual variables to estimate proficiency distributions. To reduce the number of contextual variables used in the regression and improve estimation, we propose and evaluate principal component analysis on the covariance matrix…
Descriptors: Factor Analysis, Matrices, Regression (Statistics), Educational Assessment
Sabatini, John; Wang, Zuowei; O'Reilly, Tenaha – Reading Research Quarterly, 2019
In this secondary analysis study, the authors explored the relations between reading comprehension and oral reading performance in fourth-grade students, using a data set from the U.S. National Assessment of Educational Progress (NAEP) special study of oral reading. The data set consisted of 1,713 students randomly selected from the 140,000 fourth…
Descriptors: Oral Reading, Reading Comprehension, Accuracy, Reading Rate
Rakes, Christopher R.; Ronau, Robert N. – International Journal of Research in Education and Science, 2019
The present study examined the ability of content domain (algebra, geometry, rational number, probability) to classify mathematics misconceptions. The study was conducted with 1,133 students in 53 algebra and geometry classes taught by 17 teachers from three high schools and one middle school across three school districts in a Midwestern state.…
Descriptors: Mathematics Instruction, Secondary School Teachers, Middle School Teachers, Misconceptions

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