Undergraduate Quantitative Methods Minor
Quantitative skills are highly valued in a variety of fields. Training provided by the quantitative methods minor can provide a competitive edge in the job market or for future graduate study.
Many advances in quantitative methods used in the social sciences and education are not covered in standard undergraduate introductory statistics courses. This minor exposes students to recent developments in quantitative methods with concrete applications to practice. Emphasis is on application of methods to real social science data and interpretation of results. The quantitative methods minor helps students become better consumers and producers of scientific research. Students will have the opportunity to learn from leading experts in measurement and the statistical analysis of social science data.
Structure of the Minor
Prerequisites for the minor are completion of the introductory statistics sequence that is already required by the undergraduate psychology majors. This sequence is:
- PSY-PC 2110: Introduction to Statistical Analysis (3 credits; required)*
- PSY 2100: Quantitative Methods
- PSY-PC 2120: Statistical Analysis (3 credits; required)*
The Quantitative Methods minor comprises 18 credit hours, which include both PSY-PC 2110 (or PSY 2100) and PSY-PC 2120, and these serve as prerequisites for the electives. Following completion of these prerequisites, the minor requires four additional courses (12 credits; electives).* Any four courses offered by the Quantitative Methods program are applicable and at most three credits of directed research/independent study can count toward the minor. Students with interest in the directed research/independent study can contact individual Quantitative Methods faculty directly here.
*Important: There must be 15 unique hours for the minor that are not being used for any other major or minor.
To declare the minor, complete and submit the minor declaration form.
Courses that would satisfy the elective requirements (pick 4):
- PSY-PC 3722: Psychometric Methods (Cho, Lubinski)
- PSY-PC 3724: Psychometrics (Lubinski)
- PSY-PC 3730: Applied Latent Class & Mixture Modeling (Sterba)
- PSY-PC 3732: Latent Growth Curve Modeling (Sterba)
- PSY-PC 3735: Correlation and Regression (Rodgers, Hutton)
- PSY-PC 3738: Introduction to Item Response Theory (Cho)
- PSY-PC 3743: Factor Analysis (Preacher)
- PSY-PC 3746: Multivariate Statistics (Wu)
- PSY-PC 3749: Applied Nonparametric Statistics (Preacher)
- PSY-GS 8850: Applied Bayesian Analysis for Latent Variable Modeling (Cho)
- PSY-GS 8873: Structural Equation Modeling (Cole)
- PSY-GS 8882: Multilevel Modeling (Preacher)
For a list of courses being offered in the current semester, please click here.
Prior to enrolling in a specific course, please contact the instructor regarding prerequisites. Undergraduates may request to be enrolled in QM courses not yet cross-listed as undergraduate courses by completing two forms:
Once the forms are complete, they should be submitted to the Peabody Registrar's office in the Peabody Administration Building. The student will then be registered in the course, and the degree audit adjusted appropriately, assuming there is room in the course.
We anticipate adding more courses to this list in the future. Check back regularly for updates.
In the past, some QM minor students have served as teaching assistants (TAs) for PSY-PC 2110 or PSY-PC 2120, which provides valuable experience. If you are interested in such TAing opportunities or have general inquiries about the undergraduate Quantitative Methods minor, email Kris Preacher.