Courses - Fall 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;
QMMS623
Applied Measurement: Issues and Practices
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: QMMS410 and QMMS645.
Credit only granted for: EDMS623 or QMMS623.
Formerly: EDMS623.
Test theory and its application at an intermediate level. Item analysis, reliability and validity evidence, elements of generalizability theory, factor analysis, and item response theory, measurement invariance, and test equating.
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 covariance), interaction and polynomial terms, model evaluation and comparison, and detection of outliers and influential cases.
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.
QMMS655
Introduction to Multilevel Modeling
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: QMMS651; or students who have taken courses with comparable content may contact the department.
Credit only granted for: EDMS655 or QMMS655.
Formerly: EDMS655.
Introduction to multilevel/mixed effects/random effects models and methodology as strategies for modeling nested data in educational contexts.
QMMS657
Exploratory Latent and Composite Variable Methods
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: QMMS651.
Credit only granted for: EDMS657 or QMMS657.
Formerly: EDMS657.
Development of models for exploratory factor analysis and their practical applications. Additional topics will draw from latent class analysis, cluster analysis, mixture models, classification and regression trees, and social network models.
QMMS769I
Special Topics in Applied Statistics in Education; Machine Learning and Artificial Intelligence for Predictive and Causal Inference
Credits:
3
Grad Meth:
Reg, Aud
QMMS779M
Seminar in Applied Statistics; Mathematical Foundations and Simulation Techniques
Credits:
3
Grad Meth:
Reg, Aud
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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