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Latent Variable Regression Four-Level Hierarchical Model Using Multisite Multiple-Cohort Longitudinal Data
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Choi, Kilchan; Kim, Jinok – Journal of Educational and Behavioral Statistics, 2019
This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual assessment scores over grades for students who are nested within cohorts within schools, the LVR-HM4 attempts to simultaneously model two types of…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Longitudinal Studies, Cohort Analysis
A Multigrade, Multiyear Statewide Examination of Reading Achievement: Examination of Reading Achievement Examining Variability between Districts, Schools, and Students
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Adelson, Jill L.; Dickinson, Emily R.; Cunningham, Brittany C. – Educational Researcher, 2016
This brief examined the patterns of reading achievement using statewide data from all students (Grades 3-10) in multiple years to examine gaps based on student, school, and district characteristics. Results indicate reading achievement varied most between students within schools and that students' prior achievement was the strongest predictor of…
Descriptors: Reading Achievement, Achievement Gap, School Districts, Institutional Characteristics
A Longitudinal Study of a State-Wide Reading Assessment: The Importance of Early Achievement and Socio-Demographic Factors
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Singh, Malkeet – Educational Research and Evaluation, 2013
Eliminating inequity in public education is a central goal of the No Child left Behind (NCLB) act. Controlling for 3rd-grade performance, the impact of English language learner (ELL) status, socioeconomic status (SES), and special education (SPED) status on a cohort's reading performance was investigated from elementary to high school through a…
Descriptors: Reading Tests, Educational Assessment, Measurement, Longitudinal Studies