Spring 2027

Statistics for Research and Evaluation

Introduction to statistical analysis for research and evaluation, drawing on current events and policy debates.

offering recorded3 credits
Recorded instructors · Spring 2027 Amy Claessens

Summary

What you’ll be able to do

  • Identify relationships between variables

  • Explain the relationship between internal and external validity

  • Demonstrate knowledge of inferential statistics through a final exam

  • Use computer software to analyze data

Source: UW Guide

Grade history

↗
average GPA
letter grades

No recorded grade history.

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
EDPOL 602

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

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027
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

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 950

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
Download part 1

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.

difficulty & workload

No workload feedback recorded.

Topics

  • Data distributions, internal and external validity, sampling, inference, and evaluation designs including RCT, regression, and DiD.
  • Current events and policy debates.

Skills

  • Statistical analysis including distributions, validity, sampling, inference, and evaluation designs such as RCT, regression, and DiD.
  • Using computer software to analyze real data.

Grades

Instructor

Grade distribution · % of letter grades

No grades available yet.

More grade details Grade mix, volume & source data

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.

Download part 1
Selected offering source records
EDPOL 602 · Spring 2027

Statistics for Research and Evaluation

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": "1274:310:026461",
    "course_id": "EDPOL 602",
    "course_uid": "course_a7145a59ac0008c0d2d97f69",
    "term_id": "1274",
    "source_course_id": "026461",
    "source_subject_id": "310",
    "title": "Statistics for Research and Evaluation",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews

No records available.

Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "0a45920d4c3c366bc5db5c6786a7afda6706412305ec5c10ec55bbe1ef45d964",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}