EDUC 230BLinear Statistical Models in Social Science Research: Multiple Regression Analysis
Education · 4 units · Graduate courses (200-299)
Solid and comprehensive training in regression-based methods for analyzing quantitative social science data.
Letter grading.
When it runs
- Spring 2026
- Spring 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 230A or passing score on screening examination.
BruinTree reads · Prerequisite
needs reviewconfidence 0.50 · from text- EDUC 230A
- passing score on screening examination
- · could not read "passing score on screening examination" (no course number found)
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
EDUC 230B
- EDUC 230AIntroduction to Research Design and Statistics
1 direct requisite. The whole upstream is here — 1 course over 1 level. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
EDUC 230B
- EDUC 211BEducational and Psychological Measurement: Generalizability Theory
- EDUC M231BFactor Analysis
- EDUC 231BLFactor Analysis: Computer Laboratory
- PSYCH M253Factor Analysis
- EDUC 211CIntroduction to Factor Analysis and Item Response Theory
- EDUC 230BLLinear Statistical Models: Computer Laboratory
- EDUC 230CLinear Statistical Models in Social Science Research: Analysis of Designed Experiments
- EDUC 230CLLinear Statistical Models for Experimental Research: Computer Laboratory
- EDUC 231DAdvanced Quantitative Models in Nonexperimental Research: Multilevel Analysisanother path to it
- EDUC 231AToolkit for Quantitative Methods Research
- EDUC 231CAdvanced Item Response Theory
- EDUC 231DAdvanced Quantitative Models in Nonexperimental Research: Multilevel Analysis
6 courses list this as a requisite. The whole downstream is here — 17 courses over 3 levels. Every course here opens its own tree.