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Download full textLiqun Yin; Ummugul Bezirhan; Matthias von Davier – International Electronic Journal of Elementary Education, 2025
This paper introduces an approach that uses latent class analysis to identify cut scores (LCA-CS) and categorize respondents based on context scales derived from largescale assessments like PIRLS, TIMSS, and NAEP. Context scales use Likert scale items to measure latent constructs of interest and classify respondents into meaningful ordered…
Descriptors: Multivariate Analysis, Cutting Scores, Achievement Tests, Foreign Countries
Direct linkReardon, Sean F.; Shear, Benjamin R.; Castellano, Katherine E.; Ho, Andrew D. – Journal of Educational and Behavioral Statistics, 2017
Test score distributions of schools or demographic groups are often summarized by frequencies of students scoring in a small number of ordered proficiency categories. We show that heteroskedastic ordered probit (HETOP) models can be used to estimate means and standard deviations of multiple groups' test score distributions from such data. Because…
Descriptors: Scores, Statistical Analysis, Models, Computation
Rowan, Michael; Ramsay, Eleanor – Australian Educational Researcher, 2018
In this article, we map the extent of educational inequality within Tasmania, and between Tasmania and the rest of Australia, using "National Assessment Program--Literacy and Numeracy" (NAPLAN) and senior secondary attainment data. This analysis yields some surprising findings, showing the success of Tasmanian primary and high schools…
Descriptors: Foreign Countries, Equal Education, Access to Education, Literacy
Culpepper, Steven Andrew; Park, Trevor – Journal of Educational and Behavioral Statistics, 2017
A latent multivariate regression model is developed that employs a generalized asymmetric Laplace (GAL) prior distribution for regression coefficients. The model is designed for high-dimensional applications where an approximate sparsity condition is satisfied, such that many regression coefficients are near zero after accounting for all the model…
Descriptors: Bayesian Statistics, Multivariate Analysis, Item Response Theory, Regression (Statistics)
Office of English Language Acquisition, US Department of Education, 2016
The Office of English Language Acquisition (OELA) has synthesized key data on English learners (ELs) into two-page PDF sheets, by topic, with graphics, plus key contacts. The topics for this report on English Learners (ELs) Who Are American Indian and/or Alaska Native (AI/AN) include: (1) States With the Highest Percentage of ELs Who Were AI/AN:…
Descriptors: English Language Learners, American Indians, American Indian Education, Alaska Natives
McFarland, Joel; Hussar, Bill; Wang, Xiaolei; Zhang, Jijun; Wang, Ke; Rathbun, Amy; Barmer, Amy; Cataldi, Emily Forrest; Mann, Farrah Bullock – National Center for Education Statistics, 2018
"The Condition of Education 2018" is a congressionally mandated annual report summarizing the latest data on education in the United States. This report is designed to help policymakers and the public monitor educational progress. This report contains indicators on the state of education in the United States, from prekindergarten through…
Descriptors: Educational Indicators, Elementary Secondary Education, Postsecondary Education, Kindergarten
