Courses - Spring 2026
QMMS
Quantitative Methodology: Measurement and Statistics
QMMS451
Applied Educational Statistics
Restriction: Sophomore standing or higher.
Credit only granted for: EDMS451 or QMMS451.
Formerly: EDMS451.
Introduction to statistical reasoning; location and dispersion measures; data analysis; regression and correlation; formation of hypotheses tests;
QMMS626
Instrumentation
Credits:
3
Grad Meth:
Reg, Aud, S-F
Prerequisite: QMMS623.
Credit only granted for: EDMS626 or QMMS626.
Formerly: EDMS626.
Theory, development, and applications of various affective, cognitive, or behavioral measurement instruments and procedures, including questionnaire and test items, observational protocols, and cutting-edge innovative game and scenario-based assessments.
QMMS645
Foundations of Quantitative Research Methods
Credits:
3
Grad Meth:
Reg, Aud
Credit only granted for: EDMS645 or QMMS645.
Formerly: EDMS645.
Research design and statistical applications in educational research: data representation; descriptive statistics; estimation and hypothesis testing. Application of statistical computer packages is emphasized.
QMMS646
Regression Analysis for the Education Sciences
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: QMMS645 or EDMS645; or an equivalent introductory statistics course.
Credit only granted for: QMMS646 or EDMS646 .
Formerly: EDMS646.
Theory and application of multiple linear regression. Estimation and interpretation of regression coefficients, models with discrete predictors (e.g., analysis of [co]variance), interaction and polynomial terms, model evaluation and comparison, and detection of outliers and influential cases.
QMMS647
Causal Inference and Evaluation Methods
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: Must have completed or be concurrently enrolled in QMMS651.
Credit only granted for: EDMS647 or QMMS647.
Formerly: EDMS647.
Research designs and statistical methods for impact evaluation. Theory and application of randomized experiments, propensity score matching, difference-in-differences, interrupted time-series analysis, instrumental variables, and regression discontinuity designs
QMMS651
Regression Analysis for the Education Sciences II
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: QMMS646 or EDMS646; or students who have taken courses with comparable content may contact the department.
Credit only granted for: EDMS651 or QMMS651.
Formerly: EDMS651.
A follow-up course of Regression Analysis for the Education Sciences I, focusing on various theoretical extensions of multiple linear regression and their applications. Topics include the weighted least square and maximum likelihood estimation, nonlinear regression, nonparametric regression, generalized linear models for discrete data (e.g., logistic and Poisson regression), and bootstrapping.
QMMS722
Structural Modeling
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: QMMS657.
Credit only granted for: EDMS722 or QMMS722.
Formerly: EDMS722.
Statistical theory and methods of estimation used in structural equation modeling; computer program applications; measured variable path models; confirmatory factor analysis; latent variable path models; multisample models; mean structure models; latent growth models; power in SEM.
QMMS724
Item Response Theory
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: QMMS623 and QMMS651.
Credit only granted for: EDMS724 or QMMS724.
Formerly: EDMS724.
Theoretical formulations of measurement from a latent trait theory perspective.
QMMS738J
Seminar in Special Problems in Measurement; Cognitive Diagnostic Modeling
Credits:
3
Grad Meth:
Reg, Aud, S-F
QMMS738N
Seminar in Special Problems in Measurement; The Nation's Report Card: Policy, Methods, and Global Reach of NAEP
Credits:
3
Grad Meth:
Reg, Aud
QMMS787
Bayesian Inference and Analysis
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: QMMS779 or permission of the instructor.
Credit only granted for: EDMS787 or QMMS787.
Formerly: EDMS787.
Models and model fitting methods commonly used in Bayesian Inference, such as Markov Chain Monte Carlo methods (e.g., Gibbs, Metropolis Sampling), with applications within and beyond the social and behavioral sciences. Analytical and philosophical differences between Frequentist and Bayesian statistics will also be highlighted.
QMMS798
Special Problems in Education
Credits:
1 - 6
Grad Meth:
Reg, Aud
Prerequisite: permission of department.
QMMS799
Master's Thesis Research
Credits:
1 - 6
Grad Meth:
S-F
QMMS889
Internship in Measurement and Statistics
Credits:
3 - 8
Grad Meth:
Reg, Aud
QMMS898
Pre-Candidacy Research
Credits:
1 - 8
Grad Meth:
Reg
QMMS899
Doctoral Dissertation Research
Credits:
6
Grad Meth:
S-F
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University of Maryland, College Park, MD 20742, USA
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