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Moeyaert, Mariola; Ugille, Maaike; Ferron, John M.; Beretvas, S. Natasha; Van den Noortgate, Wim – Journal of Experimental Education, 2016
The impact of misspecifying covariance matrices at the second and third levels of the three-level model is evaluated. Results indicate that ignoring existing covariance has no effect on the treatment effect estimate. In addition, the between-case variance estimates are unbiased when covariance is either modeled or ignored. If the research interest…
Descriptors: Hierarchical Linear Modeling, Monte Carlo Methods, Computation, Statistical Bias
Hulsey, Lara; Gordon, Anne; Leftin, Joshua; Beyler, Nicholas; Schirm, Allen; Smither-Wulsin, Claire; Crumbley, Will – US Department of Agriculture, 2015
This report presents findings from the Access Evaluation, a study component that is designed to assess the potential impacts of direct certification-Medicaid (DC-M) on students' access to free school meals by conducting retrospective simulations of DC-M in school year 2011-2012, the year before the demonstration began. For the Access Evaluation,…
Descriptors: Lunch Programs, Breakfast Programs, Welfare Services, Income
Porter, Kristin E.; Reardon, Sean F.; Unlu, Fatih; Bloom, Howard S.; Robinson-Cimpian, Joseph P. – MDRC, 2014
A valuable extension of the single-rating regression discontinuity design (RDD) is a multiple-rating RDD (MRRDD). To date, four main methods have been used to estimate average treatment effects at the multiple treatment frontiers of an MRRDD: the "surface" method, the "frontier" method, the "binding-score" method, and…
Descriptors: Regression (Statistics), Research Design, Quasiexperimental Design, Research Methodology
Zhang, Jinming – ETS Research Report Series, 2005
Lord's bias function and the weighted likelihood estimation method are effective in reducing the bias of the maximum likelihood estimate of an examinee's ability under the assumption that the true item parameters are known. This paper presents simulation studies to determine the effectiveness of these two methods in reducing the bias when the item…
Descriptors: Statistical Bias, Maximum Likelihood Statistics, Computation, Ability

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