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
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)
- Applied Psychology and Human Development: Major electives — any Psychology (PSYC) or Sociology (SOCY) course (no more than two electives from outside LSEHD) (Current University Catalog; students should confirm their catalog year)
Course evaluations
- Course rating
- 3.97 / 5 · Very Good
- Instructor rating
- 4.40 / 5 · Very Good
- Terms evaluated
- 5
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spring 2026 | Brooke E Magnus | 3.8 | 4.2 | 4.6 | 4.6 | 4.8 | 4.5 | 4.4 | 4.7 | 4–6 hrs/week | 40 of 47 |
| Spring 2024 | Brooke E Magnus | 4.2 | 4.7 | 4.7 | 4.7 | 4.5 | 4.8 | 4.5 | 4.2 | 4–6 hrs/week | 33 of 40 |
| Spring 2024 | Hiram Brownell | 4.8 | 4.8 | 4.8 | 4.8 | 4.8 | 4.8 | 4.8 | 4.8 | — | 5 of 8 |
| Fall 2023 | Jaclyn Ford | — | — | — | — | — | — | — | — | — | 34 of 39 |
| Spring 2023 | Brooke E Magnus | 4.4 | 4.8 | 4.9 | 4.8 | 4.5 | 4.9 | 4.6 | 4.4 | 1–3 hrs/week | 33 of 38 |
| Spring 2022 | Hiram Brownell | 4.2 | 4.8 | 4.7 | 4.3 | 3.8 | 4.2 | 4.5 | 4.1 | — | 13 of 22 |
Data freshness
Instructors
Sections
- Section 01
- Section 01
- Section 02