Speaker Bios
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NIH Public Access Author Manuscript Expert Rev Pharmacoecon Outcomes Res
NIH Public Access Author Manuscript Expert Rev Pharmacoecon Outcomes Res. Author manuscript; available in PMC 2012 October 01. NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript Published in final edited form as: Expert Rev Pharmacoecon Outcomes Res. 2011 December ; 11(6): 677–684. doi:10.1586/erp.11.74. Advancing PROMIS’s methodology: results of the Third Patient- Reported Outcomes Measurement Information System (PROMIS®) Psychometric Summit Adam C Carle*, David Cella, Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA Li Cai, Department of Education and Psychology, University of California Los Angeles, Los Angeles, CA 90095-1521, USA Seung W Choi, Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 710 N. Lake Shore Drive, Chicago, IL 60611, USA Paul K Crane, Internal Medicine, School of Medicine and Health Services, School of Public Health, University of Washington, Box 359780, 325 Ninth Avenue, Seattle, WA 98104, USA S McKay Curtis, Department of Statistics, University of Washington, Seattle, WA 98104, USA Jonathan Gruhl, Department of Statistics, University of Washington, Seattle, WA 98104, USA Jin-Shei Lai, Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 710 N. Lake Shore Drive, Chicago, IL 60611, USA Shubhabrata Mukherjee, General Internal Medicine, University of Washington, Box 359780, 401 Broadway, Suite 5076, V126, Seattle, WA 98104, USA Steven P Reise, Chair, -
Full Program Book
Beijing CHINA 12-16 July 2015 80TH ANNIVERSARY IMPS Conference PROGRAM 80TH ANNIVERSARY CONTENTS Welcome ........................................................................................... 1 Schedule .....................................................................................2-11 Keynotes ........................................................................................ 12 Invited Speakers ......................................................................... 12 Invited Symposia ........................................................................ 13 Contributed Symposia .............................................................. 13 Program Events .....................................................................14-15 Group Photo ......................................................................... 14 Welcome to Beijing Poster Session Reception ......... 14 Closing Reception & Banquet Dinner .......................... 14 Excursion Trip .................................................................14-15 General Conference Information ....................................16-18 Information for Presenters ............................................... 16 Internet Access ..................................................................... 17 Campus Life/Beijing Info/Tips ........................................ 18 Committees .................................................................................. 19 Floor Plans ...............................................................................20-22 -
Spring, 2021 Curriculum Vitae David Thissen Department of Psychology
Spring, 2021 Curriculum Vitae David Thissen Department of Psychology & Neuroscience University of North Carolina at Chapel Hill 235 E. Cameron Avenue Chapel Hill, NC 27599-3270 (919) 962-5036 [email protected] Education: B.A., Psychology, St. Louis University, June 1971 Ph.D., Behavioral Sciences, The University of Chicago, August 1976 Academic Honors and Affiliations: 1971 Elected to Phi Beta Kappa, St. Louis University 1971-1972 NDEA Title IV fellow, University of Chicago 1972-1975 NSF Graduate fellow, University of Chicago 1973- Member, Psychometric Society 1979- Member, American Statistical Association (Fellow, 2006-) 1985- Member, National Council on Measurement in Education 1989 Elected to Sigma Xi, University of Kansas 1990- Member, American Psychological Society (Fellow, 1998-) 1994-1998 Senior Fellow, National Institute of Statistical Sciences 1999-2000 President-elect, Psychometric Society 2000-2001 President, Psychometric Society 2001-2002 Past President, Psychometric Society 2015 NCME Award for Career Contributions to Educational Measurement Teaching Interests: Statistical methods in the behavioral sciences Psychometric theory Graphics and statistics in psychological contexts Research Interests: Psychometrics, item response theory Models for human growth and development Graphics and statistics in psychological contexts -2- Editorial Activities: Reviewer for Applied Psychological Measurement Reviewer for Journal of Educational Measurement Reviewer for Journal of Educational and Behavioral Statistics Reviewer for British -
High-Dimensional Exploratory Item Factor Analysis by a Metropolis–Hastings Robbins–Monro Algorithm
PSYCHOMETRIKA—VOL. 75, NO. 1, 33–57 MARCH 2010 DOI: 10.1007/S11336-009-9136-X HIGH-DIMENSIONAL EXPLORATORY ITEM FACTOR ANALYSIS BY A METROPOLIS–HASTINGS ROBBINS–MONRO ALGORITHM LI CAI UNIVERSITY OF CALIFORNIA, LOS ANGELES A Metropolis–Hastings Robbins–Monro (MH-RM) algorithm for high-dimensional maximum mar- ginal likelihood exploratory item factor analysis is proposed. The sequence of estimates from the MH-RM algorithm converges with probability one to the maximum likelihood solution. Details on the computer implementation of this algorithm are provided. The accuracy of the proposed algorithm is demonstrated with simulations. As an illustration, the proposed algorithm is applied to explore the factor structure un- derlying a new quality of life scale for children. It is shown that when the dimensionality is high, MH-RM has advantages over existing methods such as numerical quadrature based EM algorithm. Extensions of the algorithm to other modeling frameworks are discussed. Key words: stochastic approximation, SA, item response theory, IRT, Markov chain Monte Carlo, MCMC, numerical integration, categorical factor analysis, latent variable modeling, structural equation modeling. 1. Introduction Full-information Item Factor Analysis (IFA; Bock, Gibbons, & Muraki, 1988) has long been a useful tool for exploring the latent structure underlying educational and psychological tests. It is also being increasing utilized in mental health and quality of life research due to a recent surge of interest among researchers in the application of item response theory to develop standardized measurement instruments for patient reported outcomes. A notable example is the National Insti- tutes of Health Patient Reported Outcomes Measurement Information System (PROMIS; Reeve, Hays, Bjorner, Cook, Crane, & Teresi, 2007).