pyequate

pyequate is an open-source package containing different test score equating methods in one location. It includes methods for random groups, common-item/non-equivalent groups, and IRT equating. The version on GitHub will be the most current, with updates pushed to pyPI.

Areas Currently Under Development

• Standard errors of equating for common-item/non-equivalent groups methods
• post-smoothing for equipercentile equating

Required Packages

pyequate requires NumPy, Pandas, SciPy, and Statsmodels.

Public Datasets

A number of publicly available datasets are bundled with pyequate to allow testing of functions. They are also available as CSV files on GitHub.

Once pyequate is installed, the datasets can be loaded directly from within the package.

import pyequate

# List the names of all bundled datasets
pyequate.list_datasets()

# Load a dataset by name (returns a pandas DataFrame)
act = pyequate.load_dataset("ACTmath")

The following datasets are included:

ACTmath, ADMneatX, ADMneatY, CBdatax1y2, CBdatax2y1, KBneatx, KBneaty, Math20EG, Math20SG, PISAbooklets, PISAitems, PISAstudents, itemparx, itempary