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Hansen, Ben B.; Fredrickson, Mark M. – Society for Research on Educational Effectiveness, 2014
The goal of this research is to make sensitivity analysis accessible not only to empirical researchers but also to the various stakeholders for whom educational evaluations are conducted. To do this it derives anchors for the omitted variable (OV)-program participation association intrinsically, using the Love plot to present a wide range of…
Descriptors: Research Methodology, Quasiexperimental Design, Evaluation Methods, Comparative Analysis
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Nimon, Kim – Career and Technical Education Research, 2012
Using state achievement data that are openly accessible, this paper demonstrates the application of hierarchical linear modeling within the context of career technical education research. Three prominent approaches to analyzing clustered data (i.e., modeling aggregated data, modeling disaggregated data, modeling hierarchical data) are discussed…
Descriptors: Vocational Education, Educational Research, Hierarchical Linear Modeling, Multivariate Analysis