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

Catalog text is imported from the reviewed Boston College course snapshot. Confirm eligibility in EagleApps.

Requirements fulfilled

No source-backed degree requirement is attached to this course yet.

Official evaluation summary

4.58 / 5

Based on 47 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-08-02. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Brooke E Magnus
    Fall 2026, Fall 2025, Fall 2024, Fall 2023, Fall 2022, Fall 2021 · Official rating 4.77/5

Sections

  • Section 01
    Fall 2026 · Brooke E Magnus · Mcguinn Hall 332 TuTh 10:30AM-11:45AM · Offered