EDUC 255Intermediate Quantitative Methods
Focuses on the applied statistical modeling and analysis of educational data (large-scale data sets), not on the mathematical foundations of science. Students learn to address quantitative research questions using general linear model (GLM) statistical methods. GLM includes regression analysis, analysis of variance (ANOVA), and analysis of covariance (ANCOVA). Students learn statistics by doing statistics.
Prerequisite(s): introductory statistics course (EDUC 236 or equivalent). Enrollment is restricted to graduate students.
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When it runs
Spring 2026Open Spring 2026
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Seminar | Thu 12:00pm–3:00pm | McHenry Clrm 3170 | E. Mosqueda | Open 12/15 |
Who teaches it
| Instructor | Rating | Difficulty | Would take again | Reviews |
|---|---|---|---|---|
| Eduardo Mosqueda | 3.4 / 5 | 2.9 / 5 | 50% | 17 |
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