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Headrick, Todd C.; Sawilowsky, Shlomo S. – 2000
Real world data often fail to meet the underlying assumption of population normality. The Rank Transformation (RT) procedure has been recommended as an alternative to the parametric factorial analysis of Covariance (ANCOVA). The purpose of this study was to compare the Type I error and power properties of the RT ANCOVA to the parametric procedures…
Descriptors: Analysis of Covariance, Factor Analysis, Factor Structure, Nonparametric Statistics
Gierl, Mark J.; Tan, Xuan; Wang, Changjiang – College Board, 2005
The results of this study conclude that there is a multidimensional basis for test score inferences on the mathematics and critical reading sections of the SAT. Results from the exploratory analyses indicate that the data are multidimensional, as mathematics displayed two dimensions and critical reading displayed three dimensions. The correlations…
Descriptors: College Entrance Examinations, Standardized Tests, Scores, Inferences