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Schweig, Jonathan – Journal of Educational and Behavioral Statistics, 2014
Measures of classroom environments have become central to policy efforts that assess school and teacher quality. This has sparked a wide interest in using multilevel factor analysis to test measurement hypotheses about classroom-level variables. One approach partitions the total covariance matrix and tests models separately on the…
Descriptors: Factor Analysis, Robustness (Statistics), Measurement, Classroom Environment
Boyajian, Jonathan – Online Submission, 2011
This conference presentation reviews the authors' work on autocorrelations in single-case designs. The bias-corrected autocorrelation is computed, results are meta-analyzed with 5-level multilevel analysis in SAS Proc Mixed. Results suggest autocorrelations are normally distributed, and that taking into account nesting in outcomes and articles…
Descriptors: Correlation, Research Design, Meta Analysis, Statistical Distributions
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Karl, Andrew T.; Yang, Yan; Lohr, Sharon L. – Journal of Educational and Behavioral Statistics, 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.…
Descriptors: Evaluation Methods, Teacher Effectiveness, Academic Achievement, Achievement Gains
Shin, Jihyung – ProQuest LLC, 2012
This research is motivated by an analysis of reading research data. We are interested in modeling the test outcome of ability to fluently recode letters into sounds of kindergarten children aged between 5 and 7. The data showed excessive zero scores (more than 30% of children) on the test. In this dissertation, we carefully examine the models…
Descriptors: Educational Research, Hierarchical Linear Modeling, Reading Research, Kindergarten