The cross-classified data structure is ubiquitous in education, psychology, and health outcome sciences. In these areas, assessment instruments that are made up of multiple items are frequently used to measure latent constructs. The presence of both the cross-classified structure and multivariate categorical outcomes leads to the so-called…

The Q-matrix played a key role in implementations of diagnostic classification models (DCMs) or cognitive diagnostic models (CDMs) -- a family of psychometric models that are gaining attention in providing diagnostic information on students' mastery of cognitive attributes or skills. Using two Monte Carlo simulation studies, this dissertation…

Sometimes a treatment, such as receiving a high school diploma, is assigned to students if their scores on two inputs (e.g., math and English test scores) are above established cutoffs. This forms a multidimensional regression discontinuity design (RDD) to analyze the effect of the educational treatment where there are two running variables…

This study examined the effect that striving behavior has upon an institution's expenditures. While not the first study to examine such effects, it was the first to look across a multitude of institutional types, spanning seven levels of Carnegie classifications and encompassing public and private not-for-profit bachelors-granting schools to…

Colleges and universities are being pressed to seek innovative ways to measure student learning outcomes and identify the conditions that lead to their development. Understanding how students group according to a multidimensional set of learning outcomes provides information on the extent to which institutions are meeting goals. This study…