Dennis Cradit

Associate Dean for Academic Operations and Bank of America Professor of Data Analytics
Dennis Cradit
Faculty
Location
314 RBA
Phone
850-644-3888
Academic Specialty
Business Analytics
Education

Ph.D. Experimental Social Psychology, University of Iowa (1984)
M.S. Experimental Social Psychology, University of Iowa (1981)
B.A. Psychology, University of Missouri-Columbia (1977)

Areas of Expertise

Market Research and Segmentation
Clustering
Behavioral Decision Making

Dr. Dennis Cradit is the Bank of America Professor of Data Analytics in the Department of Business Analytics, Information Systems and Supply Chain at Florida State University’s College of Business. He also serves as the associate dean for Academic Operations for the college. His current research interests involve quantitative methods for business decisions and the uses of data science, analytics and complexity theory for the study of social and economic behavior. 

He previously served as dean of the Fowler College of Business at San Diego State University and the College of Business at Southern Illinois University. 

Cradit received his bachelor’s degree in psychology from the University of Missouri-Columbia and his master’s and doctoral degrees in experimental social psychology from the University of Iowa.

Selected Published Research

With M. J. Brusco and D. Steinley (In press) “Combining diversity and dispersion criteria for anticlustering.” British Journal of Mathematical and Statistical Psychology

With S. Brudvig, and M. J. Brusco (2019) “Joint selection of variables and clusters: Recovering the underlying structure of marketing data.” Journal of Marketing Analytics, 7, 1-12.

With M.J. Brusco and S. Brudvig, (2019) “An integrated dominance analysis and dynamic programming approach for measuring predictor importance for customer satisfaction.” Communications and Statistics – Theory and Methods, 48(21), 5290-5307.

With M.J. Brusco, D. Steinley, and J. Stevens, (2019) "Affinity propagation: An exemplar-based tool for clustering in psychological research" British Journal of Mathematical and Statistical Psychology, 72, 155-182.

With M. J. Brusco, E. Shireman, D. Steinley, and S. Brudvig, (2017) “Gaussian Model-Based Partitioning Using Iterated Local Search,” British Journal of Mathematical and Statistical Psychology, 70, 1-24.

With M. J. Brusco, D. Steinley, and R. Singh, (2012), “Emergent Clustering Methods for Empirical OM Research.” Journal of Operations Management, 30 (6), 454-466.

With M. J. Brusco (2005), “ConPar: A Method for Identifying Groups of Concordant Subject Proximity Matrices for Subsequent Multidimensional Scaling Analyses,” Journal of Mathematical Psychology, Vol. 49, 142 -- 154.

With M. J. Brusco, and A. Tashchian (2003), “Multicriterion Clusterwise Regression for Joint Segmentation Settings: An Application to Customer Value,” Journal of Marketing Research, Vol. 40, No. 2, pp. 225-234.

With M. J. Brusco and S. Stahl (2002), “A Simulated Annealing Heuristic for a Bicriterion Partitioning Problem in Market Segmentation,” Journal of Marketing Research, Vol 39, No. 1, pp. 99-109.

With M. J. Brusco, (2001), “A Variable Selection Heuristic for K-Means Clustering,” Psychometrika, Vol 66, No. 2, pp. 249-270.

With A. Tashchian and C. Hofacker (1994), “Signal Detection Theory and Single Observation Designs: Methods and Indices for Advertising Recognition Testing,” Journal of Marketing Research, Vol 30, No. 4, Fall, pp. 117-127.

With A. Tashchian and S. Pak (1988), “Signal Detection Analysis and Advertising Recognition: An Introduction to Measurement and Interpretation Issues,” Journal of Marketing Research, Vol. 25, No. 3, Aug,  397-404.