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Welcome from the Program Director
EDMS Students and Events
Upcoming Events

Chair > Welcome to the programs in Measurement, Statistics and Evaluation in the Department of Human Development and Quantitative methodology. We offer some of the nation's premiere graduate training in psychometric and statistical methods. Through our Ph.D, M.A., and Certificate programs, EDMS students become trained in modern analytical methods to prepare them for careers in academia and applied research. Our faculty are engaged in world-class research at the frontiers of our field, creating opportunities for our students to be mentored in all phases of the research process. I am honored to serve a department with such remarkable faculty, students, and alumni, and I encourage you learn more about what makes us so special.                                               -- Gregory R. Hancock

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> EDMS welcomes MSMS speaker, Dr. Jasmine Park, Monday, February 8, 11am-12pm, in 0306 Benjamin. Click here for more details.

> New EDMS M.A. comps / Ph.D. prelims. Click here for more details; see the top of the lefthand column.

> Hierarchical Linear Modeling workshop, March 9-11, 2016. Click here for more details.

Some Recent Publications by EDMS Faculty and Students
News Items

> Sweet, T. M. (in press). About social network models used in education research. In A. Von Davier, P.C. Kyllonen, & M. Zhu (Eds.), Innovative assessment of collaboration. New York, NY: Springer.
> Sweet, T. M., & Zheng, Q. (in press). Multilevel social network models: incorporating network-level covariates into hierarchical latent space models. In J. Harring, L. Stapleton, & S. Beretvas (Eds.), Advances in multilevel modeling for educational research: Addressing practical issues found in real-world applications. Charlotte, NC: Information Age Publishing.
> McNeish, D., & Harring, J. R. (in press). Clustered data with small sample sizes: Comparing the performance of model-based and design-based approaches. Communication in Statistics: Simulation and Computation.
> McNeish, D. M., & Stapleton, L.M. (in press). The effect of small sample size on two level model estimates: A review and illustration. Educational Psychology Review
> Yang, J. S., & Cai, L. (in press). Estimation of contextual effects through nonlinear multilevel latent variable modeling with a Metropolis-Hastings Robbins-Monro algorithm. Journal of Educational and Behavioral Statistics.
> Cheng, Y., Patton, J. M., & Shao, C. (in press). a-Stratified computerized adaptive testing in the presence of calibration error. Educational and Psychological Measurement.
> Jiao, H., & Lissitz, R. W. (in press). Direct modeling of student growth with multilevel and mixture extensions. In R. W. Lissitz & H. Jiao (Eds.), Value added modeling and growth modeling with particular application to teacher and school effectiveness. Charlotte, NC: Information Age Publishing, Inc.
> Stapleton, L. M., Pituch, K. A., & Dion, E. (in press). Standardized effect size measures for mediation analysis in cluster-randomized trials. Journal of Experimental Education. doi: 10.1080/00220973.2014.919569
> Wolfe, E. W., Jiao, H., & Song, T. (in press). A family of rater accuracy models. Journal of Applied Measurement.
> Kohli, N., Harring, J. R., & Hancock, G. R. (in press). Estimating unknown knots in piecewise linear-linear latent growth mixture models. Educational and Psychological Measurement.
> Hancock, G. R., & McNeish, D. M. (in press). More powerful tests of simple interaction contrasts in the two-way factorial design. Journal of Experimental Education.
> Kang, Y., McNeish, D. M., & Hancock, G. R. (in press). The role of measurement quality on practical guidelines for assessing measurement and structural invariance. Educational and Psychological Measurement.
> Blozis, S. A., & Harring, J. R. (in press). Understanding individual-level change through the basis functions of a latent curve model. Sociological Research Methods.
> Harring, J. R., & Stapleton, L. M., & Beretvas, S. N. (Eds.) (in press). Advances in multilevel modeling for educational research: Addressing practical issues found in real-world applications. Charlotte, NC: Information Age Publishing, Inc.
> Harring, J. R., Beretvas, S. N., & Israni, A. (in press). A model for cross-classified nested repeated measures data. In J. R. Harring, L. M. Stapleton, & S. N. Beretvas (Eds.), Advances in multilevel modeling for educational research: Addressing practical issues found in real-world applications. Charlotte, NC: Information Age Publishing, Inc.
> Stapleton, L. M.Harring, J. R., Lee, D. (in press). Sampling weight considerations for multilevel modeling of panel data. In J. R. Harring, L. M. Stapleton, & S. N. Beretvas (Eds.), Advances in multilevel modeling for educational research: Addressing practical issues found in real-world applications. Charlotte, NC: Information Age Publishing, Inc.
> Harring, J. R., & Houser, A. (in press). Longitudinal models for discrete and continuous variables: Modeling developmental processes. In A. A. Rupp, & J. Leighton (Eds.), Submitted to Handbook of Cognition and Assessment.
> Kohli, N., Harring, J. R., Zopluoglu, C. (2015). Estimation of the finite mixture of nonlinear random coefficient models. Psychometrika. doi: 10.1007/s11336-015-9462-0
> Leite, W. L., Jimenez, F., Kaya, Y., Stapleton, L. M., MacInnes, J. W., & Sandbach, R. (in press). An evaluation of weighting methods based on propensity scores to reduce selection bias in multilevel observational studies. Multivariate Behavioral Research.
> Cheng, Y., Patton, J. M., & Shao, C. (2015). a-Stratified computerized adaptive testing in the presence of calibration error. Educational and Psychological Measurement75, 260-283.

> Sweet, T. M. (2015). Incorporating covariates into block models. Journal of Behavioral and Educational Statistics. DOI: 10.3102/1076998615606110.
> Harring, J. R., Weiss, B. A., & Li, M. (2015). Assessing spurious interaction effects in structural equation modeling: A cautionary note. Educational and Psychological Measurement.
> Mao, X., Harring, J. R., & Hancock, G. R. (2015). A note on the specification of error structures in latent interaction models. Educational and Psychological Measurement, 75, 5-21.
> Hancock, G. R., & Schoonen, R. (2015). Structural equation modeling: Possibilities for language learning researchers. Language Learning, 65, 158-182.
> Mueller, R. O., & Hancock, G. R. (2015). Factor analysis and latent structure: Confirmatory factor analysis. In J. D. Wright (Ed.), International encyclopedia of the social and behavioral sciences (2nd ed.) (pp. 686-690). Oxford, England: Pergamon.
> Preacher, K. J., & Hancock, G. R. (2015). Meaningful aspects of change as novel random coefficients: A general method for reparameterizing longitudinal models. Psychological Methods, 20, 84-101.
> Harring, J. R., & Liu, J. (2015). A comparison of estimation methods for nonlinear mixed-effects models under model misspecification and data sparseness: A simulation study. Journal of Modern Applied Statistical Methods1, 1-28.

 

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> Congratulations to Dr. Jeffrey Harring, who was appointed book review editor for Psychometrika. Click here for more information.

> Congratulations to Yating Zheng, who was named a 2015-2016 International Teaching Fellow.

> Congratulations to Dr. Jeffrey Harring, recipient of the 2015 UM Graduate Faculty Mentor Award and the College of Education Outstanding Graduate Mentor Award.

> Congratulations to Dandan Liao, recipient of the 2015 College of Education Outstanding Master's Student Award.

>Congratulations to Dan McNeish, recipient of the 2015 College of Education Outstanding Doctoral Student Award.

> Congratulations to Dr. Bob Lissitz, recipient of the title of Professor Emeritus.

> Congratulations to Dr. Gregory Hancock, recipient of the 2015 Distinguished Service Award for the Structural Equation Modeling Special Interest Group of the American Educational Research Association.

> Congratulations to Dandan Liao, recipient of a 2015 Financial Industry Regulatory Authority summer internship.

> Congratulations to Ji An, recipient of a 2015 CTB/McGraw-Hill summer internship.

> Congratulations to Dandan Liao, who won theĀ 2015 Student Paper Competition Award for the Joint Statistical Meeting to be held in Seattle in August.

> Congratulations to Chen Li, who was selected as a University of Maryland Global Graduate Fellow.

> Congratulations to Xiaying (James) Zheng, who was selected as one of the eight international teaching fellows on campus this year.
 
> Congratulations to Bob Lissitz on his appointment by the Governor to the Maryland College and Career-Ready Standards and Partnership for Assessment of Readiness for College and Careers, Implementation Review Workgroup.
 

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