EDUC 231AToolkit for Quantitative Methods Research
Education · 4 units · Graduate courses (200-299)
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
Checking the Schedule of Classes…
Requisites
Official UCLA wording
Requisites: courses 230A, 230B, 230C.
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 230CLinear Statistical Models in Social Science Research: Analysis of Designed Experiments
- EDUC 230BLinear Statistical Models in Social Science Research: Multiple Regression Analysisanother path to it
3 direct requisites. The whole upstream is here — 6 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.
EDUC 231A
- EDUC 231CAdvanced Item Response Theory
- EDUC M231BFactor Analysis
- EDUC 231BLFactor Analysis: Computer Laboratory
- 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.