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

IF 1 4区 心理学 Q4 PSYCHOLOGY, MATHEMATICAL
Mengtong Li, Tianjun Sun, Bo Zhang
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引用次数: 5

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.

autoFC:一个用于强制选择测试构建中的自动项目配对的R包。
最近,人们对在非认知评估中采用强制选择(FC)测试形式越来越感兴趣,因为它在设计良好的情况下表现出了抵抗性。然而,传统的或手工配对的FC测试构建方法是时间和精力密集的,并且经常涉及的考虑不足。为了解决这些问题,我们开发了新的开源autoFC R包,以促进自动化和优化项目配对策略。autoFC包旨在作为FC测试构建的实用工具。用户只需输入感兴趣的项目特征,即可轻松获得自动优化的FC测试。定制还可用于考虑匹配规则和优化过程的行为。研究人员和实践者应该对autoFC包感兴趣,因为它可以构建具有潜在的许多度量来匹配和/或许多要配对的项目的FC量表,从本质上免除了用户手动项目配对的负担,并减少了简单排序方法引起的计算成本和偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.30
自引率
8.30%
发文量
50
期刊介绍: Applied Psychological Measurement publishes empirical research on the application of techniques of psychological measurement to substantive problems in all areas of psychology and related disciplines.
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