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College of Arts & Sciences
Department of Psychology


Faculty & Staff Directory

Alberto Maydeu-Olivares

Interim Chair
Department of Psychology
University of South Carolina

Office: Barnwell 505
Phone Number: (803) 777-6228
Email: amaydeu@sc.edu
Website: https://sc.academia.edu/AlbertoMaydeuOlivares
Vitae: Download PDF

Professor Maydeu-Olivares interests are as diverse and multidisciplinary as his background. Before joining the University of South Carolina he was ICREA-Academia Distinguished Professor of Psychology at the University of Barcelona (Spain). Previously, he had been Assistant Professor of Econometrics and Statistics at the Universidad Carlos III de Madrid, and Professor of Marketing and of Quantitative Methods at the IE Business School in Madrid.

He received a Ph.D. in Clinical/personality Psychology from the University of Barcelona and a Ph.D. in Quantitative Methods from the University of Illinois. Among other awards, he has received a Fulbright Scholarship, the American Psychological Association Dissertation Award (Division 5), the Catalan Young Investigator Award, and the Cattell (Young Investigator) award from Society of Multivariate Experimental Psychology. He was elected President of the Psychometric Society in 2013 and he is currently section editor of Psychometrika. He has edited the volumes Contemporary Psychometrics (with J.J. McArdle), and the Handbook of Quantitative Methods in Psychology (with R. Millsap) and has published over 70 articles in refereed journals: https://scholar.google.com/citations?user=Ld1d9BMAAAAJ

His research interest focus on structural equation modeling and item response theory (IRT), and more generally in developing new quantitative methods. His early research focused on social problem solving (how individuals solve real life problems) and optimism. He is probably best known for his research on goodness of fit tests for very sparse categorical data (with applications to educational testing), and models for preference and choice (with applications to marketing but also to personnel selection). His most recent work focuses on goodness of fit testing of structural equation models, the use of instrumental variable methods to overcome common method bias, and statistical modeling of faking in personnel selection.

Representative publications

Maydeu-Olivares, A. (in press). Assessing the size of model misfit in structural equation models. Psychometrika.

Maydeu-Olivares, A. & Liu, Y. (2015). Item diagnostics in multivariate discrete data. Psychological Methods, 20, 276-292.

Steenkamp, JBEM & Maydeu-Olivares, A. (2015). On the temporal stability of consumer dispositions: evidence from a twelve-year longitudinal study, 2002-2013. Journal of Marketing Research, 52, 287-308.

Maydeu-Olivares, A. & Joe, H. (2014). Assessing approximate fit in categorical data analysis. Multivariate Behavioral Research, 49, 305-328.

Liu, Y. & Maydeu-Olivares, A. (2014). Identifying the source of misfit in item response theory models. Multivariate Behavioral Research , 49, 354-371.

Brown, A. & Maydeu-Olivares, A. (2013). How IRT can solve problems of ipsative data in forced-choice questionnaires. Psychological Methods, 18, 36-52.

Gallardo-Pujol, D., Andrés-Pueyo, A. & Maydeu-Olivares, A. (2013). MAOA genotype, social exclusion and aggression: An experimental test of a gene-environment interaction. Genes, Brain and Behavior, 12, 140–145

Maydeu-Olivares, A. (2013). Goodness-of-fit assessment of item response theory models. Measurement, 11, 71-101.

Brown, A. & Maydeu-Olivares, A. (2011). Item response modeling of forced-choice questionnaires. Educational and Psychological Measurement, 71, 460-502.

D'Zurilla, T.J., Maydeu-Olivares, A., & Gallardo-Pujol, D. (2011). Predicting social problem solving using personality traits. Personality and Individual Differences, 50, 142-147.

Forero, C.G. & Maydeu-Olivares, A. (2009). Estimation of IRT graded models for rating data: Limited vs. full information methods. Psychological Methods, 14, 275-299.

Maydeu-Olivares, A. & Böckenholt, U. (2009). Modeling preference data.  In R. Millsap &  A. Maydeu-Olivares (Eds.) (2009). Handbook of Quantitative Methods in Psychology. (pp. 264-282). London: Sage.

Maydeu-Olivares, A. & Böckenholt, U. (2008). Modeling subjective health outcomes: Top 10 reasons to use Thurstone's method. Medical Care, 46, 346-348.

Maydeu-Olivares, A. & Coffman, D. L. (2006). Random intercept item factor analysis. Psychological Methods, 11, 344-362.

Maydeu-Olivares, A. & Böckenholt, U. (2005). Structural equation modeling of paired comparisons and ranking data. Psychological Methods, 10, 285-304.

Maydeu-Olivares, A. & Joe, H. (2005). Limited and full information estimation and testing in 2n contingency tables: A unified framework. Journal of the American Statistical Association, 100, 1009-1020.

D'Zurilla, T.J., Nezu, A. M. & Maydeu-Olivares, A. (2004). Social problem solving: Theory and assessment. In E.C. Chang, T.J. D'Zurilla & L. Sanna, (Eds.) Social problem solving: Theory, research, and training (pp. 11-27). Washington, DC: American Psychological Association.