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Eudey, T. Lynn; Kerr, Joshua D.; Trumbo, Bruce E. – Journal of Statistics Education, 2010
Null distributions of permutation tests for two-sample, paired, and block designs are simulated using the R statistical programming language. For each design and type of data, permutation tests are compared with standard normal-theory and nonparametric tests. These examples (often using real data) provide for classroom discussion use of metrics…
Descriptors: Statistical Distributions, Hypothesis Testing, Relationship, Statistical Significance
Tanguma, Jesus – 1999
Similarities and differences in the univariate and multivariate analysis of repeated measures designs are discussed, using a hypothetical data set studying the effects of practice on the algebra performance of four students to illustrate both methods. When data are analyzed through the univariate approach and the homogeneity assumption is…
Descriptors: Algebra, Multivariate Analysis, Performance Factors, Research Design
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Risucci, Donald A.; Tortolani, Anthony J. – Academic Medicine, 1990
The paper reviews a construct validation framework for research on the selection and evaluation of residents. The application of the proposed methodology to surgery residents is described. The need to measure non-cognitive and neuropsychological factors in addition to cognitive knowledge and technical ability is emphasized. (Author/MLW)
Descriptors: Competence, Construct Validity, Graduate Medical Students, Higher Education
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Morimoto, Yasuhiko; Ueno, Maomi; Kikukawa, Isao; Yokoyama, Setsuo; Miyadera, Youzou – Educational Technology & Society, 2006
Teachers need to assess learner portfolios in the field of education. However, they need support in the process of designing and practicing what kind of portfolios are to be assessed. To solve the problem, a formal method of describing the relations between the lesson forms and portfolios that need to be collected and the relations between…
Descriptors: Portfolios (Background Materials), Portfolio Assessment, Teaching Methods, Research Design