Chen Tang

Chen Tang

PhD Student @ UIUC

Chen Tang is a PhD student at the School of Labor and Employment Relations, University of Illinois at Urbana-Champaign.

Chen’s research interests mainly cover personnel selection, individual career development and change, and other topics related to organizational behavior and human resource.


  • Personnel selection
  • Organizational research methods
  • People analytics, predictive modeling, data visualization
  • Individual career development/change


  • Ph.D. in Human Resources, 2022 (Expected)

    University of Illinois at Urbana-Champaign

  • M.Ed. in Applied Psychology, 2012

    East China Normal University

  • B.S. in Psychology, 2009

    East China Normal University

Recent Posts



Multi-subgroup Pareto-optimal weighting

There are methods in personnel selection that seeks to improve diversity in the hiring outcomes. Among them, one of the most promising methods is Pareto-optimal weighting via the normal boundary intersection algorithm (De Corte et al.

Orthogonalized Criterion Weighting

In this project, we introduce another Pareto-optimal weighting method that incorporates a priori inputs regarding relative importance of criterion validity (i.e., expected job performance) and diversity in hiring outcomes. This project is in collaboration with Daniel A.

Item-level faking detection

Scholars have argued that faking happens on the item-level (KKuncel & Tellegen, 2001) and has complex patterns (e.g., non-linearity; Kuncel & Borneman, 2007). In this project, we put this argument directly to test.


  • 504 East Armory Avenue, Champaign, IL 61820