Tianjun Sun, Ph.D.

#iopsych #personality #psychometrics #quantmethods



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Tianjun Sun

Assistant Professor, Industrial-Organizational Psychology + Quantitative Methods


Curriculum vitae



Department of Psychological Sciences

Rice University

472 Sewall Hall
Rice University, MS-25
6100 Main Street
Houston, TX 77005 USA




Tianjun Sun, Ph.D.

#iopsych #personality #psychometrics #quantmethods



Department of Psychological Sciences

Rice University

472 Sewall Hall
Rice University, MS-25
6100 Main Street
Houston, TX 77005 USA



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


Journal article


Mengtong Li, Tianjun Sun, Bo Zhang
Applied Psychological Measurement, 2021

Semantic Scholar DOI PubMed
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Cite

APA   Click to copy
Li, M., Sun, T., & Zhang, B. (2021). autoFC: An R Package for Automatic Item Pairing in Forced-Choice Test Construction. Applied Psychological Measurement.


Chicago/Turabian   Click to copy
Li, Mengtong, Tianjun Sun, and Bo Zhang. “AutoFC: An R Package for Automatic Item Pairing in Forced-Choice Test Construction.” Applied Psychological Measurement (2021).


MLA   Click to copy
Li, Mengtong, et al. “AutoFC: An R Package for Automatic Item Pairing in Forced-Choice Test Construction.” Applied Psychological Measurement, 2021.


BibTeX   Click to copy

@article{mengtong2021a,
  title = {autoFC: An R Package for Automatic Item Pairing in Forced-Choice Test Construction},
  year = {2021},
  journal = {Applied Psychological Measurement},
  author = {Li, Mengtong and Sun, Tianjun and Zhang, Bo}
}

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.


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