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Keller, Bryan – Journal of Educational and Behavioral Statistics, 2020
Widespread availability of rich educational databases facilitates the use of conditioning strategies to estimate causal effects with nonexperimental data. With dozens, hundreds, or more potential predictors, variable selection can be useful for practical reasons related to communicating results and for statistical reasons related to improving the…
Descriptors: Nonparametric Statistics, Computation, Testing, Causal Models
Dempsey, Ian; Valentine, Megan; Colyvas, Kim – International Journal of Disability, Development and Education, 2016
Determining the effectiveness of many special education interventions is most difficult because of the practical and ethical limitations associated with assigning participants to a control or non-treated group. Using Longitudinal Study of Australian Children data, this article utilised eight different propensity score analysis methods to determine…
Descriptors: Foreign Countries, Special Education, Student Needs, Longitudinal Studies
Dong, Nianbo – Society for Research on Educational Effectiveness, 2009
Using data from the Early Childhood Longitudinal Study, Kindergarten Class of 1998-99 (ECLS-K), this paper applied optimal propensity score matching method to evaluate the effects of Head Start on children's kindergarten retention, reading and math achievement in fall kindergarten comparing with center-based care. Both parametric and nonparametric…
Descriptors: Intervals, Program Evaluation, Disadvantaged Youth, Kindergarten