autoFC: An R Package for Automatic Item Pairing in Forced-Choice Test Construction: An R Package for Automatic Item Pairing in Forced-Choice Test Construction

Mengtong Li, Tianjun Sun, Bo Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

Recently, there has been increasing interest in adopting the forced-choice (FC) test format in non-cognitive assessments, as it demonstrates faking resistance when well-designed. However, traditional or manual pairing approaches to FC test construction are time- and effort- intensive and often involve insufficient considerations. To address these issues, we developed the new open-source autoFC R package to facilitate automated and optimized item pairing strategies. The autoFC package is intended as a practical tool for FC test constructions. Users can easily obtain automatically optimized FC tests by simply inputting the item characteristics of interest. Customizations are also available for considerations on matching rules and the behaviors of the optimization process. The autoFC package should be of interest to researchers and practitioners constructing FC scales with potentially many metrics to match on and/or many items to pair, essentially exempting users from the burden of manual item pairing and reducing the computational costs and biases induced by simple ranking methods.

Original languageEnglish (US)
Pages (from-to)70-72
Number of pages3
JournalApplied Psychological Measurement
Volume46
Issue number1
DOIs
StatePublished - Jan 2022
Externally publishedYes

Keywords

  • autoFC
  • automation
  • forced-choice
  • item pairing
  • pairwise preference
  • R package

ASJC Scopus subject areas

  • Social Sciences (miscellaneous)
  • Psychology (miscellaneous)

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