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 on 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 more 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 (formerly 2101): Introduction to Statistical Analysis (3 credits; required)*
- PSY 2100 (formerly 209): Quantitative Methods
- PSY-PC 2120 (formerly 2102): Statistical Analysis (3 credits; required)*
The Quantitative Methods minor is an 18-hour minor. The 18 hours 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 (was 2530): Psychometric Methods (Cho, Lubinski)*
- PSY-PC 3724 (was 2540): Psychometrics (Lubinski)*
- PSY-PC 3727 (was 2550): Modern Robust Statistical Methods
- PSY-PC 3730 (was 2560): Applied Latent Class & Mixture Modeling (Sterba)
- PSY-PC 3732 (was 2570): Latent Growth Curve Modeling (Sterba)
- PSY-PC 3735 (was 2580): Correlation and Regression (Rodgers, Hutton)*
- PSY-PC 3738 (was 2590): Introduction to Item Response Theory (Cho)*
- PSY-PC 3743 (was 2600): Factor Analysis (Preacher)
- PSY-PC 3746 (was 2620): Multivariate Statistics
- PSY-PC 3749 (was 2610): Applied Nonparametric Statistics (Preacher)
- PSY-GS 8850: Applied Bayesian Analysis for Latent Variable Modeling (Cho)
- PSY-GS 8873 (was 314): Structural Equation Modeling (Cole)*
- PSY-GS 8882 (was 321): Multilevel Modeling (Preacher)*
*courses being offered in the 2016-2017 academic year
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. For inquires about the undergraduate Quantitative Methods minor, email Kris Preacher.