This study compares two confirmatory factor analysis methods on their ability to verify whether correct assignments of items to subtests are supported by the data. The confirmatory common factor (CCF) method is used most often and defines nonzero loadings so that they correspond to the assignment of items to subtests. Another method is the oblique…

Studies that examine the impacts of education interventions on key student, teacher, and school outcomes typically collect data on large samples and on many outcomes. In analyzing these data, researchers typically conduct multiple hypothesis tests to address key impact evaluation questions. Tests are conducted to assess intervention effects for…

Context and Purpose: With heightened attention to medical errors and patient safety, we surveyed Utah and Missouri hospitals to assess the "state of the art" in patient safety systems and identify changes over time. This study examines differences between urban and rural hospitals. Methods: Survey of all acute care hospitals in Utah and…

Subjects ranging from preschoolers to professors were asked to choose between pairs of stimulus pseudowords, the one most like a given target word. Unidimensional scale analysis, item analysis, and factor analysis of the data resulted in the following findings: (1) Adults showed a dominant preference to "addition" errors as opposed to errors of…

Failure to consider errors of measurement when using partial correlation or analysis of covariance techniques can result in erroneous conclusions. Certain aspects of this problem are discussed and particular attention is given to issues raised in a recent article by Brewar, Campbell, and Crano. (Author)

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…