EducationEDUC 255 Intermediate 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.

Requirements

Prerequisite(s): introductory statistics course (EDUC 236 or equivalent). Enrollment is restricted to graduate students.

Credits

5

Quarter offered

Spring

Instructor

Eduardo Mosqueda