简介

Daniel J. Beal obtained his Ph.D. from Tulane University and worked as a post-doctoral fellow at Purdue University. He has been on the faculty at the University of Texas at San Antonio and at Rice University, and currently he is an Associate Professor of Management at Virginia Tech. His research interests span two broad areas: Emotions in organizations and research methods. Within the emotions domain his research has emphasized the changing nature of emotional experience at work and the manner in which we work to control expressions of those emotions, and he is particularly interested in how these experiences and behaviors predict outcomes such as fatigue and performance. Methodologically, Dan has interests in three primary areas: 1) multilevel modeling, particularly applications to daily experience methods; 2) structural equation modeling, including the use of item parcels and latent growth models; and 3) developing new meta-analytic methods for artifact correction and detecting outlier studies. His work has appeared in numerous scholarly journals, including the Journal of Applied Psychology, Academy of Management Journal, Journal of Management, Organizational Research Methods, Journal of Personality and Social Psychology, and Psychological Science and has been cited more than 3000 times. In addition, he has served as an Associate Editor for the Journal of Management, and on the editorial boards of the Journal of Applied Psychology, Organizational Research Methods, and the Journal of Business and Psychology.