My primary interests continue to be the application of latent variable measurement models, including structural equation (SEM) and item response theory (IRT) to personality, psychopathology and health outcomes measures. I am not particularly interested in the mathematical/statistical machinery underlying these models, but rather in their utility to ultimately inform substantive theory. My current projects span a wide scope and include: (a) the development of new algorithms to find complex latent structure in item response data and to differentiate among hierarchical models, (b) using MIMIC modeling to validate latent variables as reflecting underlying, systematic, neuro-psychological causes, and (c) the development and implemenation of new person-fit or case influence statistics to be used to evaluate SEM measurement models. This latter project is an extension on my previous person-fit work and is consistent with my view that for any psychological phenotype (e.g., ADHD) different latent structures may applies to different subsets of individuals. For example, for some individuals ADHD symptoms may cohere in simple way suggesting a single bio-psychological process, while for others a two-factor model may be more appropriate.
Please do not email or call, (or send your vita) regarding whether I am accepting graduate students in the following year. UCLA Psychology, the Quantitative Aarea, and myself in particular are always looking for outstanding graduate students. Please apply through appropriate channels and not to me personally.
Dr. Reise received his Ph.D. from the Department of Psychology at the University of Minnesota in 1990. At Minnesota, Dr. Reise worked under the supervision of David Weiss, one of the early pioneers of IRT-based computerized adaptive testing, and the renowned personality researcher, Auke Tellegen. Dr. Reise began his career at the University of California, Riverside in 1990 and subsequently joined the faculty of UCLA in 1998 where he is currently professor in Quantitative Psychology, and co-director of the Advanced Quantitative Methods training program. This training program provides four years of support for 18 graduate students to engage in training in measurement, latent variable modeling, and modern experimental design and analysis methods.
Dr. Reise is an internationally renown teacher in quantitative methods, in particular, the application of item response theory models to personality, psychopathology, and patient reported outcomes. In recognition of his dedication to teaching, Dr. Reise was named "Professor of the Year" in 1995-96 by the graduate students in the psychology department at UC Riverside, and was awarded the 2008 Psychology Department Distinguished teaching award. Most recently, in recognition of his campus-wide and global contributions, Dr. Reise was awarded the University of California campus-wide distinguished teaching award.
Dr. Reise has spent the majority of the last twenty years investigating the application of latent variable models in general and item response theory (IRT) models in particular to personality, psychopathology and health outcomes data. In 1998, Dr. Reise was recognized for his work and received the Raymond B. Cattell award for outstanding multivariate experimental psychologist, and his 2012 publication in Multivariate Behavioral Research on the "rediscovery of bifactor models" was awarded the "Outstanding Paper of the Year". Dr. Reise has over 100 refereed publications, including, two Annual Review Chapters, two contributions to APA Handbooks, several articles in leading journals such as Psychological Assessment and Psychological Methods, and finally, along with Dr. Susan Embretson, Dr. Reise has a leading textbook on item response theory called "Item Response Theory for Psychologists" (2000 and forthcoming).
Dr. Reise's work on IRT covers a wide range of topics from basic research in assumption testing and model fit assessment, to differential item functioning, computerized adaptive testing, to the development (with Waller) of new IRT models specifically designed for psychopathology data (i.e., the 4-parameter model). Most notably, Dr. Reise has a long standing interest in measuring "person fit" – the degree to which an individual's pattern of response is consistent with an IRT or structural equations model.
Most recently, recognizing that there is no such thing as unidimensional data, and thus all unidimensional IRT models are problematic, Dr. Reise, in a series of studies, has championed the use of exploratory (Jennrich & Bentler) and confirmatory bifactor models, as a foundation model for item response theory, for evaluating the adequacy of psychological measures, the viability of scoring subscales, and for interpreting person-fit indices.
Using the umbrella concept of "impulsivity" Dr. Reise is currently investigating the role of latent variable modeling (growth, mixture, structural equations, and item response theory) and related techniques in developing models from gene to (endo)phenotype. See also Research and Teaching interests above.
Moore, T.M., Reise, S.P., Depaoli, S., & Haviland, M.G. (in press). Iteration of Partially-Specified Target Matrices: Applications in Exploratory and Bayesian Confirmatory Factor Analysis. Multivariate Behavioral Research.
Bonifay, W. E., Reise, S.P., Meijer, R.R., & Scheines, R. (in press). When are multidimensional data unidimensional enough for structural equation modeling? An evaluation of the DETECT Multidimensionality Index. Structural Equation Modeling.
Reise, S.P., Cook, K.F, & Moore, T.M. (in press). Item response theory and the unidimensionality assumption. In S. Reise & D. Revicki (Eds). Advanced Handbook of Item Response Theory as Applied to Patient Reported Outcomes. New York: Taylor & Francis.
Reise, S.P., Moore,T.M., Sabb, F.W., Brown, A.K., & London, E.D. (2013). The Barratt Impulsiveness Scale-11: Reassessment of its Structure in a community sample. Psychological Assessment, 25, 631-642.
Reise, S.P., Scheines, R., Widaman, K.F., & Haviland, M.G. (2013). The effects of multidimensionality on structural validity coefficients in structureal equation modeling. Education and Psychological Measurement, 73, 5-26. doi: 10.1177/0013164412449831
Reise, S.P. (2012). The rediscovery of bifactor measurement models. Multivariate Behavioral Research, 47, 667-696. DOI: 10.1080/00273171.2012.715555
Preston, K.S.J., Reise, S.P., Cai, L., & Hays, R.D. (2011). Using the nominal response model to evaluate response category discrimination in the PROMIS emotional distress item pools. Educational and Psychological Measurement, 71, 523-550.
Reise, S.P., Moore, T.M., & Maydeu-Olivares, A. (2011). Target rotations and assessing the impact of model violations on the parameters of unidimensional item response theory models. Educational and Psychological Measurement, 71, 684-711.
Waller, N.G., & Reise, S.P. (2010). Measuring psychopathology with non-standard item response theory models: Fitting the four-parameter model to the Minnesota Multiphasic Personality Inventory. In Embretson, S.(Ed.), New Directions in Psychological Measurement with Model-Based Approaches. American Psychological Association: Washington DC. (p. 147-173)
Reise, S.P., Moore, T.M., & Haviland, M.G. (2010). Bifactor models and rotations: Exploring the extent to which multidimensional data yield univocal scale scores. Journal of Personality Assessment, 92, 544-559.
Bilder, R.M., Poldrack, R., Parker, S.D., Reise, S.P., Jentsch, J.D., Cannon, T., London, E., Sabb, F.W., Foland, L., Rizk-Jackson, A., Kalar, D., Bown, N., Carstensen, A. (2009). Cognitive Phenomics. In S. Wood, N. Allen, C. Pantelis (Eds.) Handbook of Neuropsychology of Mental Disorders. Cambridge: Cambridge University Press (p. 271-282).