This paper aims to illustrate how data visualization could be utilized to identify errors prior to modeling, using an example with multi-dimensional item response theory (MIRT). MIRT combines item response theory and factor analysis to identify a psychometric model that investigates two or more latent traits. While it may seem convenient to…

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…

Structural equation modeling provides the framework for investigating experimental effects on the basis of variances and covariances in repeated measurements. A special type of confirmatory factor analysis as part of this framework enables the appropriate representation of the experimental effect and the separation of experimental and…

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…

The Sato Caution Index takes into account the number and difficulty of items gotten wrong by a student within his or her ability, as well as the number and difficulty of items gotten right beyond his or her ability. Sato subtracts the two components to define a single Caution Index. In this study, the components are kept separate, defining a…