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IRT_demo

Purpose:

Public repo to demonstrate using Stata's IRT functionalities to explore item response theory on a real dataset.

The data in the repo is a partial subset of the following dataset: Daniel O. Gilligan; Naureen Karachiwalla; Ibrahim Kasirye; Adrienne M. Lucas; Derek Neal, 2021, "Replication Data for: Educator Incentives and Educational Triage in Rural Primary Schools", https://doi.org/10.7910/DVN/FJOL7N, Harvard Dataverse, V1, UNF:6:9T9h8aWC5AXitExRjEjZPg== [fileUNF]

We thank the authors for making their data public.

Scripts:

The main script is "IRT_demo.do" -- this contains the exercise accompanying the coding lunch presentation.

"make_data.do" creates the subsetted data used in the exercise

Disclaimer:

This is meant as an exploration of Stat's IRT capabilities, NOT a best practices for calculating test scores based on IRT OR a real analysis of the underlying data.

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