CV

(updated: January 2020)

Chen Tang

University of Illinois at Urbana-Champaign

504 E Armory Ave, Champaign, IL 61820

chent3@illinois.edu

Education

School of Labor and Employment Relations, University of Illinois at Urbana-Champaign

  • PhD Student, 2017-Present

School of Psychology and Cognitive Science, East China Normal University

  • M.Ed., Applied Psychology, 2009-2012

  • B.S., Psychology, 2005-2009

Research Interests

  • Personnel selection, diversity in HR
  • Organizational research methods
  • People analytics, predictive modeling, data visualization
  • Individual career development/change, unemployment, job search behaviors

Publications

Yang, Y., Tang, C., Qu, X., Wang, C., & Denson, T. F. (2018). Group facial width-to-height ratio predicts intergroup negotiation outcomes. Frontiers in Psychology.

Tang, C., & Yang, Y. (2017). Goals. In Zeigler-Hill, V., & Shackelford, T. K. (Eds.) Encyclopedia of Personality and Individual Difference. Springer.

Ongoing Projects

Tang, C., & Zhang. B. (writing in progress). Faking is in the details: Improving faking detection accuracy using personality items

Tang, C., Chen, Y., Song, Q. C., & Newman, D. A. (writing in progress). Predictor weighting with adverse impact and shrinkage: Reply to Sackett et al. (2017).

Song, Q. C., Tang, C., & Wee, S. (R&R). Details omitted for blind reviewing.

Tang, C., Shin, H. J., Barve., A, & Song, Q. C. (Writing in progress). Using ensemble machine learning to improve assessment in personnel selection.

Tang, C., Chen, Y., & Wei, W. (writing in progress). External work locus of control and unethical pro-organizational behavior: A dual-path model.

Song, Q. C., & Tang, C. (data analysis). Adverse impact reduction for multiple subgroups: A Pareto-optimization approach.

Lee, SH., & Tang, C. (data collection). A dual-path model of job search behaviors.

Conference Presentations

Tang, C., Newman, D. A., & Song, Q. C. (April 2020). Addressing diversity-Validity trade-offs via Pareto weights with orthogonalized criteria. In Song, Q. C. & Wee. S. (Co-chairs), Multi-Objective Optimization in the Workplace: Addressing Adverse Impact in Selection. Symposium paper presenting at the 35th Annual Convention of the Society for Industrial and Organizational Psychology, Austin, TX.

Song, Q. C., & Tang, C. (April 2020). Adverse impact reduction for multiple subgroups: A Pareto-optimization approach. In Song, Q. C. & Wee. S. (Co-chairs), Multi-Objective Optimization in the Workplace: Addressing Adverse Impact in Selection. Symposium paper presenting at the 35th Annual Convention of the Society for Industrial and Organizational Psychology, Austin, TX.

Tang, C., Shin, H. J., Barve, A., & Song, Q., C. (April 2020). Using ensemble machine learning to improve assessment in personnel selection. Poster presenting at the 35th Annual Convention of the Society for Industrial and Organizational Psychology, Austin, TX.

Sang-Hoon, L., Tang, C., & Liang, Y. J. (April 2020). Won’t stop searching: detachment, self-improvement, and job search outcomes. Poster presenting at the 35th Annual Convention of the Society for Industrial and Organizational Psychology, Austin, TX.

Tang, C., Chen, Y., Song, Q. C., & Newman, D. A. (April, 2019). Predictor weighting with adverse impact and shrinkage: Reply to Sackett et al. (2017). Poster presented at the 34th Annual Convention of the Society for Industrial and Organizational Psychology, Washington, DC.

Academic Experience

School of Labor and Employment Relations, University of Illinois at Urbana–Champaign

  • Research Assistant, 2017-Present

School of Entrepreneurship and Management, ShanghaiTech University

  • Research Assistant, 2015-2017

Teaching Experience

Teaching Assistant, Negotiation, ShanghaiTech SEM, Spring 2016, Spring 2017

Teaching Assistant, Executive MBA Midterm Module, CEIBS, Spring 2017

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