PSYC 5501 Experimental Design and Statistics
This course focuses on experimental design and related statistical methods. It covers between-subject, within-subject, and mixed designs with one and two factors. Statistical topics include the relevant statistical model and model assumptions, omnibus test, test of contrasts, multiple comparison, effect size, and power calculations. One and two sample t tests will also be revisited. If time permits, advanced topics such as designs with nested factors or random factors, mixed model approach, and nonparametric approach may also be covered.
Course overview
- Department
- Psychology and Neuroscience
- School
- MCAS
- Credits
- 3
- Level
- Both
- Offered
- Annually
Catalog details
- Prerequisites
- An undergraduate course in statistics
Course evaluations
- Course rating
- 4.58 / 5 · Excellent
- Instructor rating
- 4.77 / 5 · Excellent
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Fall 2025 | Brooke E Magnus | 5.0 | 5.0 | 5.0 | 5.0 | 4.2 | 5.0 | 5.0 | 4.8 | 1–3 hrs/week | 5 of 5 |
| Fall 2024 | Brooke E Magnus | 4.7 | 4.7 | 4.7 | 4.7 | 4.7 | 4.9 | 5.0 | 4.6 | 4–6 hrs/week | 10 of 11 |
| Fall 2023 | Brooke E Magnus | — | — | — | — | — | — | — | — | — | 16 of 17 |
| Fall 2022 | Brooke E Magnus | 4.8 | 4.6 | 4.9 | 4.9 | 4.9 | 5.0 | 5.0 | 4.9 | 4–6 hrs/week | 8 of 13 |
| Fall 2021 | Brooke E Magnus | 4.4 | 4.9 | 5.0 | 5.0 | 4.8 | 4.8 | 4.1 | 3.9 | 4–6 hrs/week | 8 of 8 |