COM HLT M216A
Qualitative Research: Design and Data Collection
Course statistics
- Predicted GPA
- 3.89
- n = 106 · 5 terms · ± 0.050
- A range
- 93%
- of letter grades
- Taken P/NP
- 0%
- — of those passed
- D / F / W
- 0.0%
- incl. withdrawals
Sections in Fall 2026
Not offered in Fall 2026.
Enrollment history
Final enrollment per term, averaged across that term's sections. Four years deep, summer excluded. Per-section live curves are on each section page.
- 2022W
- 1823W
- 1524S
- 2025W
- 1825S
Peak 20
Most recent
18
in 25S
5 terms on record
Grade distribution
- A+ 28 · 26.4%
- A 51 · 48.1%
- A- 20 · 18.9%
- B+ 5 · 4.7%
- B 2 · 1.9%
Grey bars are non-letter outcomes — P/NP, S/U, incompletes. They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.
By instructor
| Instructor | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| WAGMAN, JENNIFER ANN | 3.91 | 3.92 | 38 | 2 | 95% |
| GIPSON, JESSICA | 3.90 | 3.91 | 30 | 1 | 93% |
| SINGH, RACHEL | 3.90 | 3.91 | 30 | 1 | 93% |
| GEORGE, SHEBA MARIAM | 3.91 | 3.93 | 20 | 1 | 100% |
| KEARNEY, MATTHEW | 3.81 | 3.75 | 18 small sample | 1 | 83% |
“Predicted” is shrunk toward the course average, which is itself shrunk toward the department — so an instructor with a handful of students sits near the course mean rather than topping the list.
By term
- 22W 3.93 n=20
- 23W 3.98 n=18
- 24S 3.91 n=30
- 25W 3.87 n=20
- 25S 3.75 n=18