Fall 2026

Design & Analysis of Quasi-experiments for Causal Inference

This course teaches applied causal inference using quasi-experimental designs like regression discontinuity and instrumental variables.

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Recorded instructors · Fall 2026 No instructors listed

Summary

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Recent recorded grades — Fall 2023: 3.65 GPA, 76.5% A/AB (n=17 letter grades); Fall 2024: 3.86 GPA, 92.9% A/AB (n=14 letter grades); Fall 2025: 3.78 GPA, 88.9% A/AB (n=9 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

ED PSYCH 762 and 763

EDPSYCH 963

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Professors

Fall 2026

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Calendar & sections

Fall 2026

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Student experience

the class

Recent recorded grades — Fall 2023: 3.65 GPA, 76.5% A/AB (n=17 letter grades); Fall 2024: 3.86 GPA, 92.9% A/AB (n=14 letter grades); Fall 2025: 3.78 GPA, 88.9% A/AB (n=9 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Regression discontinuity designs
  • Interrupted time series designs
  • Non-equivalent control group designs
  • Instrumental variable designs

Skills

  • Application of quasi-experimental designs for causal inference.

Grades

Latest available · Fall 2025— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

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AB
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BC
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D
F

Grades over time

Through Fall 2025

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Sources & history

UW–Madison

Catalog & offerings

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "d1af4ec90ea57a848c8c2df36168807b7aae93729ac1b6ee36d25107d108ed8e",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}