PSYCH 256AIntroduction to Multilevel Modeling
Psychology · 4 units · Graduate courses (200-299)
Basics of random coefficient models for analysis of data from (1) individuals nested within groups and (2) repeated observations of individuals (longitudinal growth models). Selected advanced topics, including three-level models, cross-classification, dyadic data, categorical outcomes, power, and assumption violation.
S/U or letter grading.
When it runs
- Winter 2026
- Winter 2027
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
Official UCLA wording
Requisite: course 250C.
BruinTree reads · Prerequisite
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
PSYCH 256A
- PSYCH 250CAdvanced Psychological Statistics
- PSYCH 250AAdvanced Psychological Statistics
1 direct requisite. The whole upstream is here — 2 courses over 2 levels. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
PSYCH 256A
- PSYCH 254CBayesian Statistics
- PSYCH 256BAdvanced Multilevel Modeling
- PSYCH 430Quantitative Psychology Practicum
3 courses list this as a requisite. The whole downstream is here — 3 courses over 1 level. Every course here opens its own tree.