example_data_2PL

<p>A synthetic dataset composed of responses from 160 students to 10 items, with all responses binary.</p>

datasets

Integrate Item Response Theory (IRT) and Federated Learning to estimate traditional IRT models, including the 2-Parameter Logistic (2PL) and the Graded Response Models, with enhanced privacy. It allows for the estimation in a distributed manner without compromising accuracy. A user-friendly 'shiny' application is included.

Biying Zhou

FedIRT

Federated Item Response Theory Models

Feng Ji

example_data_2PL function

<p>A dataframe with 160 rows and 10 columns.
Each row corresponds to a student's set of responses, and each column represents the responses of all students to a particular item.</p>

example_data_2PL: Binary Response Dataset for Federated 2PL Model

Description

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Examples