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Rutkowski, Leslie; Zhou, Yan – Journal of Educational Measurement, 2015
Given the importance of large-scale assessments to educational policy conversations, it is critical that subpopulation achievement is estimated reliably and with sufficient precision. Despite this importance, biased subpopulation estimates have been found to occur when variables in the conditioning model side of a latent regression model contain…
Descriptors: Error of Measurement, Error Correction, Regression (Statistics), Computation
Harring, Jeffrey R.; Weiss, Brandi A.; Hsu, Jui-Chen – Psychological Methods, 2012
Two Monte Carlo simulations were performed to compare methods for estimating and testing hypotheses of quadratic effects in latent variable regression models. The methods considered in the current study were (a) a 2-stage moderated regression approach using latent variable scores, (b) an unconstrained product indicator approach, (c) a latent…
Descriptors: Structural Equation Models, Geometric Concepts, Computation, Comparative Analysis
Stacy, Brian; Reckase, Mark; Wooldridge, Jeffrey; Guarino, Cassandra – Education Policy Center at Michigan State University, 2013
This paper investigates how the precision and stability of a teacher's value-added estimate relates to the characteristics of the teacher's students. Using a large administrative data set and a variety of teacher value-added estimators, it finds that the stability over time of teacher value-added estimates can depend on the previous achievement…
Descriptors: Teacher Effectiveness, Teacher Competencies, Academic Achievement, Computation