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Keller, Bryan; Tipton, Elizabeth – Journal of Educational and Behavioral Statistics, 2016
In this article, we review four software packages for implementing propensity score analysis in R: "Matching, MatchIt, PSAgraphics," and "twang." After briefly discussing essential elements for propensity score analysis, we apply each package to a data set from the Early Childhood Longitudinal Study in order to estimate the…
Descriptors: Computer Software, Probability, Statistical Analysis, Longitudinal Studies
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Aliprantis, Dionissi – Journal of Educational and Behavioral Statistics, 2012
A wide literature uses date of birth as an instrument to study the causal effects of educational attainment. This paper shows how parents delaying their children's initial enrollment in kindergarten, a practice known as redshirting, can make estimates obtained through this identification framework all but impossible to interpret. A latent index…
Descriptors: Statistical Analysis, Computation, Educational Attainment, Enrollment
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Hong, Guanglei – Journal of Educational and Behavioral Statistics, 2010
Defining causal effects as comparisons between marginal population means, this article introduces marginal mean weighting through stratification (MMW-S) to adjust for selection bias in multilevel educational data. The article formally shows the inherent connections among the MMW-S method, propensity score stratification, and…
Descriptors: Statistical Analysis, Scores, Statistical Inference, Homogeneous Grouping