Fall 2026

Statistics for Research and Evaluation

EDPOL 602 introduces statistical analysis for research and evaluation, covering validity, sampling, inference, and designs like RCT and DiD using real data.

offering recorded3 credits

Recorded instructors · Fall 2026 Amy Claessens Sky Duke Yijun Won

Summary

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Prerequisites

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Graduate/professional standing

Graduate/professional standing

EDPOL 602

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Graduate/professional standing

Professors

Fall 2026

Yijun Won

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Historical instructors & teaching patterns

AMY CLAESSENS is recorded teaching in Spring 2024. 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

Fall 2026

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Section	Mode	Enrolled / capacity	Waitlist
LEC 001	Classroom Instruction	0 / 95	0

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Student experience

the class

An introduction to statistical analysis for research and evaluation. Draw on current events and policy debates when possible. Describe data and distributions; internal/external validity; sampling, inference, and evaluation designs (RCT, regression, DiD). Expect to use real data and computer software to complete assignments.

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Topics

Data and distributions
Internal and external validity
Sampling and inference
Evaluation designs (RCT, regression, DiD)

Skills

Describing data and distributions
Assessing internal and external validity
Applying sampling, inference, and evaluation designs
Using real data and computer software

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Sources & history

UW–Madison

Catalog & offerings

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Selected offering source records

EDPOL 602 · Fall 2026

Statistics for Research and Evaluation

Recorded 2026-09-07

Raw records

[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:310:026461",
    "course_id": "EDPOL 602",
    "course_uid": "course_a7145a59ac0008c0d2d97f69",
    "term_id": "1272",
    "source_course_id": "026461",
    "source_subject_id": "310",
    "title": "Statistics for Research and Evaluation",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]

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Model outputs & technical records

nvidia/Qwen3.6-35B-A3B-NVFP4

LLM outputs across runs

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Full model traces

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Model & dataset provenance

{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "5e52cdad99d74dd62e48d7332ba0925350efb180fe5e901677fce09370c9fd86",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}