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Powell, Marvin G.; Hull, Darrell M.; Beaujean, A. Alexander – Journal of Experimental Education, 2020
Randomized controlled trials are not always feasible in educational research, so researchers must use alternative methods to study treatment effects. Propensity score matching is one such method for observational studies that has shown considerable growth in popularity since it was first introduced in the early 1980s. This paper outlines the…
Descriptors: Probability, Scores, Observation, Educational Research
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Xu, Beijie; Recker, Mimi – Journal of Educational Data Mining, 2011
This article describes the Knowledge Discovery and Data Mining (KDD) process and its application in the field of educational data mining (EDM) in the context of a digital library service called the Instructional Architect (IA.usu.edu). In particular, the study reported in this article investigated a certain type of data mining problem, clustering,…
Descriptors: Electronic Libraries, Library Services, Multivariate Analysis, Electronic Learning
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Chaaban, Jad M. – Social Indicators Research, 2009
This paper develops an empirical methodology for the construction of a synthetic multi-dimensional cross-country comparison of the performance of governments around the world in improving the livelihood of their younger population. The devised "Youth Welfare Index" is based on the nonparametric Data Envelopment Analysis (DEA) methodology and…
Descriptors: Nonparametric Statistics, Research Methodology, Evaluation Methods, Comparative Education
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Penfield, Randall D.; Lam, Tony C. M. – Educational Measurement: Issues and Practice, 2000
Discusses extending research into differential item functioning (DIF) to performance assessment and considers some of the best options available at this time. The most effective strategy for assessing DIF is to use a combination of several methods, preferably one from each of the observed score nonparametric, latent score nonparametric, and…
Descriptors: Evaluation Methods, Item Bias, Nonparametric Statistics, Performance Based Assessment
Fan, Xitao – 2001
Bootstrap analysis, both for nonparametric statistical inference and for describing sample results stability and replicability, has been gaining prominence among quantitative researchers in educational and psychological research. Procedurally, however, it is often quite a challenge for quantitative researchers to implement bootstrap analysis in…
Descriptors: Computer Software, Educational Research, Heuristics, Nonparametric Statistics