CAEP 7712 — Intermediate Statistical Data Analysis Techniques
3 semester hoursGraduateLectureusually offered: falltypical days: W/ThBostonTraditional
Emphasizes the use of existing theories and models as a basis for the formation of questions and hypotheses and for designing research to address those questions and hypotheses. Covers the logic of design of research and hypothesis testing, regression, general linear model (GLM), statistical model building and testing, hierarchical regression, and analysis of covariance structures. Emphasizes consideration of power and effects. Requires students to do problems on the computer and/or by hand using data sets assigned in class. Requires prior completion of a course in basic statistics and a course in methods of research design or permission of instructor.
Prerequisites
- Requires prior completion of a course in basic statistics and a course in methods of research design or permission of instructor
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 1 | 4 | 10 | 40% | 6.0 |
| Fall 2024 | 1 | 4 | 10 | 40% | 6.0 |
| Fall 2025 | 1 | 8 | 10 | 80% | 2.0 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 0% · T 0% · W 50% · Th 50% · F 0%
Common patterns: R (50% of sections), W (50% of sections) — in patterns, R means Thursday
Professors
Fall
- Donald Robinaugh (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (CAEP course descriptions) · Student reviews on RateMyHusky · All CAEP courses · Plan it at numap.app