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Quantitative Training

Doctoral students in the Department of Psychology are required by their programs to take courses in Quantitative Training. Students are encouraged to take additional courses to contribute to professional development, particularly if they are pursuing a career in research or industry. Many classes can be taken within the department but students may also look to other departments for advanced training. Below is a non-exhaustive list of topics and call numbers students might consider for advanced quantitative training.


-PSYC 6250 (typically offered each spring)

Multilevel Modeling

-ERSH 8770 (typically offered each semester)

-HDFS 8840 (typically offered each fall)

-PSYC 8330 (call number may apply to several courses; offered every 2-3 years)


-PSYC 8000 (call number may apply to several courses, look for fMRI Meta-analysis; offered every 2-3 years)

-KINS 8200

Structural Equation Modeling

-ERSH 8750

-MGMT 9610 (typically offered each fall)

-HDFS 8730

Social Network Analysis

-SOC 8650 or 9650

-EDHI 8970

-PSYC 5100/8000 (call number may apply to several courses, look for Network Analysis in title)

Research Methods

-PSYC 6670 (typically offered each spring)

-MGMT 9010

Advanced Psychometrics

-PSYC 8990 (several different courses may be offered)

-ERSH (Exploratory factor analysis)

Other Statistics Courses

-STAT 8210 (Multivariate Theory Methods, typically offered every fall)

-INFO 8000 (Informatics)

-HDFS 8850 (dyadic data + survival analysis, typically offered every fall)

-ERSH 8360 (Categorical data analysis, applied to education)

-MIST offers a variety of courses that may be relevant:

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