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Johnson, Clay Stephen – ProQuest LLC, 2013
Synthetic control methods are an innovative matching technique first introduced within the economics and political science literature that have begun to find application in educational research as well. Synthetic controls create an aggregate-level, time-series comparison for a single treated unit of interest for causal inference with observational…
Descriptors: Educational Assessment, Statistical Inference, Academic Achievement, Statistical Bias
Kim, Se-Kang – International Journal of Testing, 2010
The aim of the current study is to validate the invariance of major profile patterns derived from multidimensional scaling (MDS) by bootstrapping. Profile Analysis via Multidimensional Scaling (PAMS) was employed to obtain profiles and bootstrapping was used to construct the sampling distributions of the profile coordinates and the empirical…
Descriptors: Intervals, Multidimensional Scaling, Profiles, Evaluation
Kadhi, T.; Palasota, A.; Holley, D.; Rudley, D. – Online Submission, 2010
The following report gives the statistical findings of the 2009-2010 Watson-Glaser test. Data is pre-existing and was given to the Evaluator by email from the Director, Center for Legal Pedagogy. Statistical analyses were run using SPSS 17 to address the following questions: 1. What are the statistical descriptors of the Watson-Glaser results of…
Descriptors: Pretests Posttests, Statistical Significance, Classification, Achievement Tests
Wang, Jianjun – International Journal of Research & Method in Education, 2008
As an alternative to statistical testing, effect size has a non-monotonic linkage with practical importance. Besides random variance and systematic bias, a proper interpretation of effect size hinges on its implication to outcomes of deductive and/or inductive enquiries. Consequently, a small effect size might suggest an important finding, and the…
Descriptors: Effect Size, Statistical Significance, Statistical Inference, Evaluation

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