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PerFit

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Evidence · no claims cited

Description

PerFit is an R package that computes person-fit statistics for item-response and assessment data, developed for researchers conducting person-fit analysis.

Components

  • PerFit R package for computing person-fit statistics: The study computed the four non-parametric person-fit statistics (G, G*, U3, ZU3) for every examinee using the R package PerFit, which the article cites as "PerFit: An R Package for Person-Fit Analysis in IRT". The statistics were chosen because they "have been shown to be the most effective in identifying cheating" in prior comparisons of 36 PFS measures. The package operationalizes the IRT-based detection approach for researchers wishing to replicate the method on their own assessment data. (Alona Strugatski et al. (2025))

Claims

Key Sources

  • Alona Strugatski and Giora Alexandron. (2025). Applying Item Response Theory to Distinguish Between Human and Generative AI Responses to Multiple-Choice Assessments. LAK'25 pre-print. https://arxiv.org/abs/2412.02713
Page metadata
Field Value
type product
id perfit
title PerFit
description PerFit is an R package that computes person-fit statistics for item-response and assessment data, developed for researchers conducting person-fit analysis.
status review
product_kind software
generated by process:settle-candidates on 2026-10-12
trust unverified — no one has confirmed this page's content

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