We propose that machine-learned computational models (MLCMs), in which the model parameters and perhaps even structure are learned from data, can complement extant approaches to the study of text and discourse. Such models are particularly useful when theoretical understanding is insufficient, when the data are rife with nonlinearities and…

This study explores how organizational identity is linked with organizational behavior and change at U.S. colleges and universities. Using IPEDS data from 914 public and private not-for-profit four-year institutions, this study analyzes how institutions' identity claims through their self-identified comparison groups are associated with Carnegie…

Objective: To conduct a pilot test of the validity of using empirically derived personality types to characterize eating disorder (ED) risk in college students and resolve discrepancies regarding the role of perfectionism and obsessive-compulsive disorder (OCD) symptoms. Participants: Man and woman undergraduate students (N = 169) at a small,…

We investigate the relationship between learning styles, online content usage and exam performance in an undergraduate introductory Computer Information Systems class comprised of both online video tutorials and in-person classes. Our findings suggest that, across students, (1) traditional learning style classification methodologies do not predict…

The purpose of this study, based on a quasi-experimental static group comparison design, was to determine the extent to which intercultural competency (ICC) training might be related to perceived levels of conflict (i.e., disagreements related to cultural misunderstandings and perceptions) among multicultural groups of students who participated in…