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Direct linkNam, Yeji; Hong, Sehee – Educational and Psychological Measurement, 2021
This study investigated the extent to which class-specific parameter estimates are biased by the within-class normality assumption in nonnormal growth mixture modeling (GMM). Monte Carlo simulations for nonnormal GMM were conducted to analyze and compare two strategies for obtaining unbiased parameter estimates: relaxing the within-class normality…
Descriptors: Probability, Models, Statistical Analysis, Statistical Distributions
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
Walzebug, Anke; Kasper, Daniel – Assessment in Education: Principles, Policy & Practice, 2018
In "Progress in International Reading Literacy Study" (PIRLS) educational inequalities are measured, amongst others, through the relationship between students' reading achievements and the home resource for learning (HRL) scale. By applying the partial credit model and using the WLE estimates for the person parameters it is accepted that…
Descriptors: Grade 4, Achievement Tests, Foreign Countries, International Assessment
Reardon, Sean F.; Kalogrides, Demetra; Ho, Andrew D. – Stanford Center for Education Policy Analysis, 2017
There is no comprehensive database of U.S. district-level test scores that is comparable across states. We describe and evaluate a method for constructing such a database. First, we estimate linear, reliability-adjusted linking transformations from state test score scales to the scale of the National Assessment of Educational Progress (NAEP). We…
Descriptors: School Districts, Scores, Statistical Distributions, Database Design
Penner, Emily K. – Journal of Research on Educational Effectiveness, 2016
This article examines the effect of Teach For America (TFA) on the distribution of student achievement in elementary school. It extends previous research by estimating quantile treatment effects (QTE) to examine how student achievement in TFA and non-TFA classrooms differs across the broader distribution of student achievement. It also updates…
Descriptors: Elementary School Students, Academic Achievement, Teacher Effectiveness, Program Effectiveness
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
