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Laura Stapleton, Ph.D.
Associate Professor
Education:
Ph.D. 2001 University of Maryland, College Park
Area:
Measurement, Statistics
and Evaluation
Office:
MP325 x 410-455-3704
Lab:
SH 412 x 410-455-3705
Email:lstaplet@umbc.edu
Research Interests
My
current interest is in the collection and statistical modeling of
survey data. Often in program evaluation and research (correlational
and experimental), surveys or questionnaires are used to collect
data about a person's feelings, knowledge, or behaviors. My line
of research examines both questionnaire item development (how do
we know if the person is answering the way we think they should?)
and the problems in using traditional statistical analysis when
the respondents to the survey are not the product of a simple random
sampling procedure. My research is both methodological and applied
in nature. A typical methodological study may involve simulating
data with certain known properties and then examining how well the
sampling and subsequent statistical modeling procedure captures
the known properties. Another type of methodological study would
be to construct questionnaire items that attempt to capture the
same construct, but are worded or formatted differently. These items
would then be administered to a large sample of respondents to determine
whether differences in response were noted or the items would be
discussed in focus groups to understand perceived differences in
the items.
Selected Publications
Schultz, D., Buckingham, S., Stapleton, L. M., Izard, C. E., &
Bear, G. C. (in press) Children’s social status as a function
of emotionality and attention control. Journal of Applied Developmental
Psychology.
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. 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. Lawrence Erlbaum Associates.
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. (2008). Variance estimation using replication
methods in structural equation modeling with complex sample data.
Structural Equation Modeling, 15, 183-210.
Stapleton, L. M., Sander, J. B., & Stark, K. R. (2007). Psychometric
properties of the Beck Depression Inventory for youth in a sample
of girls. Psychological Assessment.19, 230-235.
Fine, J. G., Semrud-Clikeman, M., Keith, T. Z., Stapleton, L. M.,
& Hynd, G. W. (2007). Reading and the corpus callosum: An MRI
family study of volume and area. Neuropsychology, 21,
235-241.
Suizzo, M.-A., & Stapleton, L. M. (2007) Home-based parental
involvement in young children’s education: examining the effects
of maternal education across U.S. ethnic groups. Educational
Psychology, 27, 533-556.
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 Researc, 41,
367-400.
Stapleton, L. M. (2006). An assessment of practical solutions for
structural equation modeling with complex sample data. Structural
Equation Modeling, 13, 28-58
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.
Greenwich, CT: Information Age Publishing.
Best, R. G., Stapleton, L. M., & Downey, R. G. (2005). Core
self-evaluations and job burnout: The test of alternative models.
Journal of Occupational Health Psychology, 10, 441-451.
Stapleton, L. M., & Leite, W. (2005). A review of syllabi for
a sample of structural equation modeling courses. Structural
Equation Modeling.
Novak S., Stapleton L. M., Litaker J., Lawson K. (2005). Re: "(Mis)use
of factor analysis in the study of insulin resistance syndrome".
American Journal of Epidemiology, 161, 1181-1185.
Cemalcilar, Z., Falbo, T., & Stapleton, L. M. (2005). Cyber
communication: A new opportunity for international students' acculturation.
International Journal of Intercultural Relations, 29,
91-110.
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.
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.
Novak, S., Stapleton, L. M., Litaker, J. R., & Lawson, K. A.
(2003). A confirmatory factor analysis evaluation of the coronary
heart disease risk factors of metabolic syndrome with emphasis on
the insulin resistance factor. Diabetes, Obesity and Metabolism,
5, 388-396.
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.
Stapleton, L. M. (2002). The incorporation of sample weights into
multilevel structural equation models. Structural Equation Modeling,
9, 475-502.
Courses Taught
Psyc 601E: Structural Equation Modeling
Psyc 611: Data Analysis
I
Psyc 711: Data Analysis
II
Psyc 715: Measurement
of Behavior
Psyc 331: Experimental
Design and Analysis I
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