MESA8430 · Education
Lynch School of Education & Human Development
Addresses the construction, interpretation, and application of linear statistical models. Specifically, lectures and computer exercises cover ordinary least squares regression models; matrix algebra operations; parameter estimation techniques; missing data options; power transformations; exploratory versus confirmatory model building; linear-model diagnostics, sources of multicollinearity; diagnostic residual analysis techniques; variance partitioning procedures; dummy, effect, and orthogonal coding procedures; moderation and mediation analysis; regularization tecniques, and an introduction to structural equation modeling.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.7 / 5
How well the course was organized
Challenge
4.5 / 5
How intellectually challenging students found it
Attendance
4.4 / 5
How necessary attendance was
Assignments
4.6 / 5
How helpful assignments were
Weekly effort
~7
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect only recovered evaluations connected to this course.
Across time
Section-level results available in the recovered archive.
Spring 2025
1 sectionSummer 2024
1 section