Clement Stone

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Clement Stone

Clement Stone

University of Pittsburgh
5920 Wesley W. Posvar Hall
230 South Bouquet Street
Pittsburgh, PA 15260
Phone: 412-624-9359

Emeritus Faculty

Clement A Stone is a Professor of Research Methods in the Department of Psychology in Education. His research interests include educational and psychological assessment, large scale assessment and psychometrics, including instrument development and validation, item response theory models and applications, simulation and Monte Carlo methods, applied Bayesian methods and applications to IRT, quasi-experimental designs and propensity scoring methods, and the measurement of change.

School Affiliations

Recent Grants

  • Development and Validation of a Measure of Self-Advocacy in Female Cancer Survivors.

    Jul 2014 - Dec 2016
  • Novel measures of psychosocial stress

    2012 - Jul 2013
  • Research on the Effectiveness of a remote coaching model

    2012 - 2013
  • Research/Evaluation of the Teacher Evaluation Project for the Pennsylvania Department of Education

    2012 - 2013
  • Augmenting subscale scores for the Delaware State Assessment Program

    2006 - 2007
  • Evaluating the ACTS of PA Curriculum Intervention: A Meta-Analysis using a Quasi-experimental Design: Propensity Scoring and Meta-Analysis

    2005 - 2006
  • More

Recent Publications

  • Stone, C.A. & Zhu, X. (2015). Bayesian analysis of item response theory models using SAS . Cary, NC: SAS Publications.
  • Stone, C.A., & Leventhal B.C. (2016). Accounting for multidimensionality in item responses in patient-centered and patient reported outcomes measurement. International Journal of Person Centered Medicine, 6(4), 274-288.
  • Kamarck, T.W., Absi, M., Epstein, D. Estin, E., Intille, S., Kirk, G. Kumar, S. Preston, K. Rea, M,. Scott, M., Shetty, V., Shiffman, S,. Stewiorek, D., Smailagic, A. Stone, C., & Venugapa, M. (In Press). Amabulatory Monitoring and Ecological Momentary Assessment. In Waldstien, S. Katzel, L. & Kop, W. (Eds.), Handbook of cardiovascular behavioral medicine.
  • Stone, C. A. & Tang, Y. (2013). Comparing Propensity Score Methods in Balancing Covariates and Recovering Impact in Small Sample Educational Program Evaluations. Practical Assessment, Research & Evaluation, 18(13).
  • Doyle, P.J., Hula, W.D., Hula, S.N., Stone, C.A., Wambaugh, J.L., Ross, K.B., & Schumacher, J.G. (2013). Self- and surrogate-reported communication functioning in aphasia. Quality of Life Research, 22(5), 957-67.
  • Stone, C.A. (2013). Using SAS PROC MCMC to estimate and evaluate item response theory models. Proceedings from SIS 2013 published in Advances in Latent Variables, Eds. Brentari E., Carpita M., Vita e Pensiero.
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