ERIC Number: EJ1019619
Record Type: Journal
Publication Date: 2013-Dec
Abstractor: As Provided
Reference Count: 47
A Correlated Random Effects Model for Nonignorable Missing Data in Value-Added Assessment of Teacher Effects
Karl, Andrew T.; Yang, Yan; Lohr, Sharon L.
Journal of Educational and Behavioral Statistics, v38 n6 p577-603 Dec 2013
Value-added models have been widely used to assess the contributions of individual teachers and schools to students' academic growth based on longitudinal student achievement outcomes. There is concern, however, that ignoring the presence of missing values, which are common in longitudinal studies, can bias teachers' value-added scores. In this article, a flexible correlated random effects model is developed that jointly models the student responses and the student missing data indicators. Both the student responses and the missing data mechanism depend on latent teacher effects as well as latent student effects, and the correlation between the sets of random effects adjusts teachers' value-added scores for informative missing data. The methods are illustrated with data from calculus classes at a large public university and with data from an elementary school district.
Descriptors: Evaluation Methods, Teacher Effectiveness, Academic Achievement, Achievement Gains, Responses, Correlation, Calculus, College Mathematics, Elementary Schools, Hierarchical Linear Modeling, Data Analysis, Scores, Statistical Analysis, Equations (Mathematics), Statistical Distributions, Effect Size, Models, Teacher Influence
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Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education; Higher Education; Postsecondary Education
Authoring Institution: N/A