EDMS647

Causal Inference and Evaluation Methods

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Prerequisite: Must have completed or be concurrently enrolled in EDMS651. Counterfactual (potential outcomes) framework for causal inference, design/analysis strategies for confounder control, and specific best-practice applications to the evaluation of programs.

Spring 2025

Peter Steiner

0 reviews
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Past Semesters

Peter Steiner

0 reviews
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Peter Steiner

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Peter Steiner

0 reviews
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Laura Stapleton

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Tracy Sweet

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Kathryn Alvestad

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Marc Kroopnick

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During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.73 between 231 students*

EDMS647 Grade Distribution+-05101520253035404550556065707580% of studentsABCDFWother
A-: 12.12%
A: 25.54%
A+: 39.39%
B-: 2.6%
B: 6.93%
B+: 6.93%
C-: 0.43%
C+: 0.43%
F: 0.43%
W: 0.87%
other: 4.33%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.