Laura Stapleton

Associate Professor
1230C Benjamin Building
Measurement, Statistics and Evaluation
Department of Human Development and Quantitative Methodology
University of Maryland
College Park, MD  20742-1115
lstaplet@umd.edu
(301) 405-1933 Voice
(301) 314-9245 Fax



Biosketch

I am an Associate Professor in Measurement, Statistics and Evaluation in the Department of Human Development and Quantitative Methodology at the University of Maryland. I joined the faculty of EDMS in Fall 2011 after being on the faculty in Psychology at the University of Maryland, Baltimore County and in Educational Psychology at the University of Texas, Austin. 

My research interests include the analysis of survey data obtained under complex sampling designs and multilevel latent variable models, including tests of mediation within a multilevel framework.

Prior to earning my Ph.D. in Measurement, Statistics and Evaluation from the University of Maryland in 2001, I was an economist at the Bureau of Labor Statistics and, subsequently, conducted educational research at the American Association of State Colleges and Universities and as Associate Director of institutional research at the University of Maryland.

Selected Publications

Book Chapters

Pituch, K. A., & Stapleton, L. M. (2011). Hierarchical linear and structural equation modeling approaches to mediation analysis in randomized field experiments.  In P. Vogt & M. Williams (Eds.), The Sage Handbook on Innovations in Social Research (pp. 590-619). London, England: Sage Publications.

Stapleton, L. M. (2010).  Survey sampling design and analysis.  In G. R. Hancock, & R. O. Mueller (Eds.), The Reviewer’s Guide to Quantitative Methods in the Social Sciences (pp. 397-411).  New York: Taylor & Francis, Inc.

Hancock, G. R., Stapleton, L. M., & Arnold-Berkovits, I. (2009). The tenuousness of invariance tests within multisample covariance and mean structure models. In T. Teo & M. S. Khine (Eds.), Structural Equation Modeling: Concepts and Applications in Educational Research (pp. 137-174). Rotterdam, Netherlands: Sense Publishers.

Stapleton, L. M., & Thomas, S. L. (2008). Sources and issues in the use of national datasets for pedagogy and research.In O’Connell, A., & McCoach, B. (Eds).Multilevel Analysis of Educational Data (pp. 11-57). Greenwich, CT:  Information Age Publishing.

Stapleton, L. M. (2008). Analyzing data from complex surveys.In Hox, J., de Leeuw, E., & Dillman, D (Eds). International Handbook of Survey Methodology (pp. 342-369).  Lawrence Erlbaum Associates.

Stapleton, L. M. (2006). Using multilevel structural equation modeling techniques with complex sample data. In Hancock, G. R., & Mueller, R. (Eds). A Second Course in Structural Equation Modeling (pp. 345-383). Greenwich, CT: Information Age Publishing.

Methodological Articles

Stapleton, L. M.  (2012). Evaluation of conditional weight approximations for two-level models.Communications in Statistics: Simulation and Computation, 41, 182-204.

Leite, W. L., & Stapleton, L. M. (2011). Detecting growth shape misspecifications in latent growth models: An evaluation of fit indices. Journal of Experimental Education, 79, 361-381.

Burt, W. M., & Stapleton, L. M. (2010).Connotative meanings of student performance labels used in standard setting. Educational Measurement: Issues and Practice, 29, 28-38. 

Stapleton, L. M., Cafarelli, M., Almario, M., & Ching, T. (2010).Prevalence and characteristics of student attitude surveys used in public elementary schools in the United States. Practical Assessment Research and Evaluation, 15, #9.

Stapleton, L. M. (2008). Variance estimation using replication methods in structural equation modeling with complex sample data. Structural Equation Modeling: A Multidisciplinary Journal, 15, 183-210.

Allua, S., Stapleton, L. M., &Beretvas, S. N. (2008). Testing Latent Mean Differences Between Observed and Unobserved Groups using Multilevel Factor Mixture Models. Educational and Psychological Measurement, 68, 357-378.

Pituch, K. A., & Stapleton, L. M. (2008). The performance of methods to test upper-level mediation in the presence of nonnormal data. Multivariate Behavioral Research, 43, 237-267.

Stapleton, L. M., Sander, J. B., & Stark, K. D. (2007). Psychometric properties of the Beck Depression Inventory for youth in a sample of girls. Psychological Assessment, 19, 230-235.

Stapleton, L. M. (2006).  An assessment of practical solutions for structural equation modeling with complex sample data. Structural Equation Modeling: A Multidisciplinary Journal, 13, 28-58.

Whittaker, T. A., & Stapleton, L. M.  (2006). The performance of cross-validation indices used to select among competing covariance structure models under multivariate nonnormality conditions.  Multivariate Behavioral Research, 41, 295-335.

Pituch, K. A., Stapleton, L. M., & Kang, J.-Y.  (2006). A comparison of single sample and bootstrap methods to assess mediation in cluster randomized trials.  Multivariate Behavioral Research, 41, 367-400.

Stapleton, L. M., & Edmonds, M. (2005). An exploration of the validity of the unbounded write-in scale for inter-individual research.International Journal of Public Opinion Research, 17, 484-494.

Pituch, K., Whittaker, T. A., & Stapleton, L. M. (2005). A comparison of methods to test for mediation in multisite experiments.Multivariate Behavioral Research, 40, 1-23.

Stapleton, L. M., & Leite, W. L. (2005).A review of syllabi for a sample of structural equation modeling courses. Structural Equation Modeling: A Multidisciplinary Journal, 12, 642-664.

Stapleton, L. M. (2002). The incorporation of sample weights into multilevel structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 9, 475-502.

De Ayala, R., Kim, S.-H., Stapleton, L. M., & Dayton, C. M. (2002). Differential Item Functioning: A mixture distribution conceptualization.  International Journal of Testing, 2, 243-276.


Curriculum Vitae



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