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Pan, Tianshu; Yin, Yue – Psychological Methods, 2012
In the discussion of mean square difference (MSD) and standard error of measurement (SEM), Barchard (2012) concluded that the MSD between 2 sets of test scores is greater than 2(SEM)[superscript 2] and SEM underestimates the score difference between 2 tests when the 2 tests are not parallel. This conclusion has limitations for 2 reasons. First,…
Descriptors: Error of Measurement, Geometric Concepts, Tests, Structural Equation Models
Birnbaum, Michael H. – Psychological Review, 2011
This article contrasts 2 approaches to analyzing transitivity of preference and other behavioral properties in choice data. The approach of Regenwetter, Dana, and Davis-Stober (2011) assumes that on each choice, a decision maker samples randomly from a mixture of preference orders to determine whether "A" is preferred to "B." In contrast, Birnbaum…
Descriptors: Evidence, Testing, Computation, Probability

Goldstein, Harvey – Journal of Educational Statistics, 1991
Multilevel models used to assess and compare school effectiveness, particularly their application to multivariate data, are critiqued. Problems associated with standard errors of measurement and the various components of "school effect" are highlighted in terms of how they could affect incautious application of the models. (TJH)
Descriptors: Comparative Analysis, Educational Assessment, Effect Size, Elementary Secondary Education
Chance Favors the Prepared Mind: Mathematics and Science Indicators for Comparing States and Nations
Phillips, Gary W. – American Institutes for Research, 2007
This report provides international benchmarks to help states see how students are doing in math and science within an international context. It shows how state-by-state results from the National Assessment of Educational Progress (NAEP) can be linked with nation-by-nation results from the Trends in International Mathematics and Science Study…
Descriptors: Mathematics Achievement, Academic Achievement, Numeracy, National Competency Tests