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Yongseok Lee; Walter L. Leite; Audrey J. Leroux – Journal of Experimental Education, 2024
In the current study, we compare propensity score (PS) matching methods for data with a cross-classified structure, where each individual is clustered within more than one group, but the groups are not hierarchically organized. Through a Monte Carlo simulation study, we compared sequential cluster matching (SCM), preferential within cluster…
Descriptors: Comparative Analysis, Data Analysis, Groups, Classification
Huang, Francis L. – Journal of Experimental Education, 2018
Studies analyzing clustered data sets using both multilevel models (MLMs) and ordinary least squares (OLS) regression have generally concluded that resulting point estimates, but not the standard errors, are comparable with each other. However, the accuracy of the estimates of OLS models is important to consider, as several alternative techniques…
Descriptors: Hierarchical Linear Modeling, Least Squares Statistics, Regression (Statistics), Comparative Analysis
Peer reviewedJacob, S. H. – Journal of Experimental Education, 1972
Study investigates the adequacy of predicting differential value systems of college students from their American College Test (ACT) scores. (Author)
Descriptors: College Students, Comparative Analysis, Data Analysis, Males
Peer reviewedLii, Sheng-Ying – Journal of Experimental Education, 1981
Effects of sex and birth order on interactions between mothers and their six-month-old infants (matched in social class, infant's birth order, and sex) were studied using different sequential behavioral analyses. Results for each method are discussed. (Author/AEF)
Descriptors: Behavioral Science Research, Birth Order, Comparative Analysis, Data Analysis

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