EDUC 231A

Toolkit for Quantitative Methods Research

Education · 4 units · Graduate courses (200-299)

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Elementary probability. Working knowledge with calculus. Mathematical and statistical results useful for advanced quantitative methodology research. Matrix algebra. Random vectors. Multivariate distribution theory. Likelihood and Bayesian estimation and inference. Linear and generalized linear models. Simulation.

S/U or letter grading.

When it runs

Winter 2026
Spring 2026
Spring 2027

Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.

Checking the Schedule of Classes…

Requisites

Official UCLA wording
Requisites: courses 230A, 230B, 230C.

BruinTree reads · Prerequisite

confidence 1.00 · from text

all of

Requires

Everything that has to come before this course, not just the courses named in the requisite above.

EDUC 231A

EDUC 230AIntroduction to Research Design and Statistics
EDUC 230BLinear Statistical Models in Social Science Research: Multiple Regression Analysis
- EDUC 230AIntroduction to Research Design and Statisticsanother path to it
EDUC 230CLinear Statistical Models in Social Science Research: Analysis of Designed Experiments
- EDUC 230AIntroduction to Research Design and Statisticsanother path to it

Unlocks

What this course is a requisite for, and what those courses lead to in turn.

EDUC 231A

EDUC 231CAdvanced Item Response Theory
EDUC M231BFactor Analysis
- EDUC 231BLFactor Analysis: Computer Laboratory
- EDUC 231CAdvanced Item Response Theoryanother path to it
PSYCH M253Factor Analysis

3 courses list this as a requisite. The whole downstream is here — 5 courses over 2 levels. Every course here opens its own tree.