PSYC 1121 Introduction to Behavioral Statistics and Research II
This course builds on PSYC1120 by extending the regression framework to more complex models for psychological data. Topics include modeling a continuous outcome using multiple continuous and categorical predictors, examining interaction effects, and comparing competing models. Emphasis is placed on data visualization and applied interpretation. The course includes hands-on implementation of models using modern statistical software. Specific applications and methods may vary by semester.
Course overview
- Department
- Psychology and Neuroscience
- School
- MCAS
- Credits
- 3
- Level
- Undergraduate
- Offered
- Annually
Catalog details
- Prerequisites
- PSYC1120 or BZAN1135 or SOCY2200 or PHCG3560 or ECON1151 or BIOL2300
Requirements fulfilled
- Neuroscience B.S.: Computation (6 Credits) — Any one of the following courses (Current University Catalog; students should confirm their catalog year)
- Psychology B.S. (Class of 2027 and Before): Computational Corequisite — two of the following courses (6 or more credits) (Class of 2027 and Before)
- Psychology B.S.: Computational Corequisite — two of the following courses (6 or more credits) (Class of 2028 and After)
- Psychology B.A. (Class of 2027 and Before): Either of the following courses (3 credits) (Class of 2027 and Before)
Official evaluation summary
3.97 / 5
Data freshness
Instructors
- Brooke E Magnus
- Hiram Brownell
- Jaclyn Ford
Sections
- Section 02
- Section 01