Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=15 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=8 letter grades).
Using Secondary Data: Applied Quantitative Analysis
Applies quantitative techniques to manage and analyze secondary data for educational policy using statistical software.
Summary
Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=15 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=8 letter grades).
What you’ll be able to do
Analyze existing data to answer research questions about educational policy.
Explain data management and variable creation for quantitative research in educational policy.
Identify and employ methods for secondary analysis through a final project on the topic of educational policy.
Use computer software to analyze educational data.
Critically evaluate the strengths and limitations of quantitative research methods and findings in educational research.
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapProfessors
Spring 2027Historical instructors & teaching patterns
RAN LIU is recorded teaching in Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 0 / 20 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
Student experience
the class
Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=15 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=8 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Secondary data management and variable creation
- Quantitative research methods and evaluation
- Applied analysis of educational policy data
Skills
- Manage secondary data and create variables for quantitative research in educational policy.
- Use statistical software to analyze educational data.
- Critically evaluate strengths and limitations of quantitative research methods and findings.
Grades
Latest available · Spring 2026— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Spring 2026
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
Using Secondary Data: Applied Quantitative Analysis
Recorded 2026-10-14Raw records
[
{
"run_id": "20261014T203208-0851c9a1",
"semester": "1274",
"observed_at": "2026-10-14 17:50:09.728220+00:00",
"offering_id": "1274:310:026463",
"course_id": "EDPOL 605",
"course_uid": "course_a0f7e341c180b2822c3581b8",
"term_id": "1274",
"source_course_id": "026463",
"source_subject_id": "310",
"title": "Using Secondary Data: Applied Quantitative Analysis",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Not Applicable"
}
]Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
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Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "56fef45dffa67898c64db90b340c53ba6ddcf99c0e30f30cc3f55f4b6830b548",
"requirements_status": "needs_review",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}