The Item Response Warehouse (IRW) is an open-source, large-scale repository designed to advance psychometric research by standardizing and aggregating a large volume of item response datasets.
itemresponsewarehouse@stanford.edu
.The easiest way to get access to IRW data is via the Redivis API
# 1. Make sure devtools is intalled from CRAN
# install.packages("devtools")
# 2. The Redivis R package redivis-r needs to be installed
devtools::install_github("redivis/redivis-r", ref="main")
# 3. Generate a long-term Redivis API Token to avoid human intervention.
# Instructions at https://apidocs.redivis.com/client-libraries/redivis-r/getting-started
# 4. Install the IRW package to access essential APIs
devtools::install_github("ben-domingue/irw/irw_pkg")
For guidance to use IRW for data analysis in Python or R, please refer to the IRW website for comprehensive explanations and examples.
Below are critical instructions for formatting data for the IRW. More information about the IRW data standard is available in the preprint and by contacting the IRW maintainers.
treatment
column that is 1 if response comes from a treated respondent and 0 otherwise. To add data from the queue to the IRW repository there are three todo items:
We have a queue of data that we aim to add to the IRW available here. We have typically tried to do some initial checks to ensure that these data are appropriate, but further investigation often suggests otherwise. Please feel free to each out to us at itemresponsewarehouse@stanford.edu.