Professor of Psychometrics and Statistics
Director - Interdisciplinary Initiative for Research Design & Analysis (IIRDA)
Accredited Professional Statistician, American Statistical Association
Doctoral Program in Education
601 University Drive
Academic Support Building South 325
San Marcos, TX 78666
Larry Price received the degree of Doctor of Philosophy from Georgia State University in 1997 with concentrations in Research, Measurement, and Statistics and Higher Education. Prior coming to Texas State University, he served as a Psychometrician and Statistician for the Emory University School Medicine, Department of Psychiatry & Behavioral Sciences from 1996 to 1999. Between 1999 and 2001, Dr. Price was employed at The Psychological Corporation in San Antonio, Texas as a Psychometrician II. Dr. Price continues to serve as a consultant for The Psychological Corporation, The University of Texas Health Science Center San Antonio’s Functional MRI Research Imaging Center, and METRICA, Inc./United States Air Force.
My research interests are varied and include:
Price, L. R. (2013). Analysis of Imaging Data, Chapter 9 in the Oxford Handbook of Quantitative Methods in Psychology, volume 2. New York, NY: Oxford University Press.
Flagmeier, S. G., Ray, K. L., Parkinson, A. L., Li, Karl, Vargas, R., Laird, A., Price, L. R., Larson, C. R. & Robin, D. A. (2014). The neural changes in connectivity of the voice network during voice pitch perturbation. Brain and Learning, 132, 7 – 13.
Komogortsev, O. V., Price, L.R., & A. Karpov (2012). “Biometric Authentication via Oculomotor Plant Characteristics”. Proceedings from the Fifth International Conference on Biometrics, March 29 – April 1, 2012, New Delhi, India.
Price, L. R. (in press). Small sample properties of Bayesian multivariate autoregressive time series models. Structural Equation Modeling: A Multidisciplinary Journal.
Sailors, M., & Price, L. R. (2010). Professional Development that Supports the Teaching of Cognitive Reading Strategy Instruction. Elementary School Journal, 110, 3, 301-322.
Tulsky, D. and Price, L. R. (2003). The Joint Factor Structure of the WAIS-III/WMS-III. Psychological Assessment, 15, 2, 149-162.
Haaland, K., Price, L. R., and Larue, A. (2003). What does the WMS-III tell us about memory changes with normal aging?. Journal of the International Neuropsychological Society, 9, 89-96.
Price, L. R., Tulsky, D., Millis, S., & Weiss, L. (2002). Redefining the Factor Structure of the Wechsler Memory Scale-III: Confirmatory Factor Analysis with Cross-Validation. Journal of Clinical and Experimental Neuropsychology, 24, 5, 574-585.
Price, L. R., Lurie, A., & Wilkins, C. (2001). A SAS Program for Calculating Equivalent Scores Across Different Test Forms Using the Equipercentile Method. Applied Psychological Measurement, 25, 4.
Price, L. R. (2012). Analysis of Neuroimaging Data. Chapter 55 in The Oxford Handbook of Quantitative Methods. Oxford University Press. Price, L. R. (2012). Analysis of Neuroimaging Data. Chapter 55 in The Oxford Handbook of Quantitative Methods. Oxford University Press.
Price, L. R. (2011). Differential Item Functioning and Language Translation: A Cross-National Study with a Test Developed for Certification. Lambert Academic Publishing. Saarbrucken, Germany.
National Institutes of Health (NIH) – L. R. Price, Co- Principle Investigator, Expediting Health Research via Bayesian Instrument Development (BID), 2013 -2015. Dr. Price will develop a psychometric model using Bayesian probability, inference and Monte Carlo methods.
Electromedical Products International, Inc. – Efficacy of Cranial Electrotherapy Stimulation (CES) for Treatment of Insomnia Disorder: A Polysomnography Study (2014) – 100,000.00. Dr. Price serves as Principle Investigator.
National Science Foundation (CAREER proposal) – Occulomotor Plant Modeling as a Future of Biometrics and Human Computer Interaction Design (2011-2012) – Dr. Oleg Komogortsev and Dr, Larry R. Price – Texas State University-San Marcos, Texas.
Effect of Cranial Electrotherapy Stimulation on PTSD in Burned Outpatients (2008 – 2011) – 900,000.00/3 year grant funded by United States Army Institute of Surgical Research.
National Science Foundation - Robert Noyce Scholarship Program for Science and Mathematics Teachers (2008-2013) – 750,000/5 year project - Dr. Ann Cavello – University of Texas – Arlington, Principle Investigator. Dr. Price serves on the Senior Staff as Project Evaluator and Psychometric/Statistical Consultant.
Mix It Up: Correlated Space Science and Math – 2008/2009 87,000 Teacher Quality grant funded by the Texas Higher Education Coordinating Board. Co-Principle Investigator.
Price, L. R. (2014). “Nonrecursive Latent Variable Models under Misspecification”. Paper presentation at the Annual Meeting of the American Educational research Association, April 3 – 7, Philadelphia, Pennsylvania.
Price, L. R. (2013). “Investigating Perfect Model Fit in Higher Order Confirmatory Factor Analysis through Exploratory/Confirmatory and Bayesian Approaches”. Paper presentation at the Annual Meeting of the American Psychological Association, August 3 – 6, Oahu, Hawaii.
Price, L.R., & Laird, A. R. (2009).“Methodological Advances in Analyzing Functional Neuroimaging Data”. Invited presentation at the American Psychological Association, August 6 – 9, 2009, Toronto, Canada.
Price, L.R. (2009).“A Bayesian Vector Autoregressive Model for Multivariate Time Series Data”. Paper presentation at the Structural Equation Modeling Special Interest Group of the American Educational Research Association, April 16 – 20, San Diego, California.
Price, L.R. (2009).“Structural Equation Modeling in Functional Neuroimaging Studies: Challenges, Solutions, & New Directions”. Invited presentation at the University of Kansas sponsored by the Department of Quantitative Psychology, January 30, Lawrence, Kansas.
Price, L.R., Pelkey, M., & Reardon, R.(2009).“A Moderated-Mediated Path Analysis of Science Achievement”. Paper presentation at Division H of at the American Educational Research Association, April 16 – 20, San Diego, California.
Price, L. (2008). “Deriving Optimal Neuroimaging Models using Bayesian Model Averaging”. Paper presentation at the International Meeting of The Psychometric Society, June 28 – 30, Durham, NH.
Statistical & Psychmetric Programs in SAS: