Using Secondary Data: Applied Quantitative Analysis

Applies quantitative techniques to manage and analyze secondary data for educational policy using statistical software.

offering recorded3 credits
Recorded instructors · Spring 2027 Ran Liu3.7/5

Summary

1 / 2

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

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average GPA
letter grades
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AB
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Prerequisites

Course map

ED POL 209 or graduate/professional standing

  • take one
EDPOL 605

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Any of

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 5.00/5 from 1 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

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).

Historical 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 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 200

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.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

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

UW–Madison

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
EDPOL 605 · Spring 2027

Using Secondary Data: Applied Quantitative Analysis

Recorded 2026-10-14
Raw 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"
  }
]
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Model outputs & technical records
Qwen/Qwen3.8-27B
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"
}