I am a second-year Industrial-Organizational Psychology Ph.D. student in the OWL Lab at Rice University, advised by Prof. Fred Oswald. Prior to this, I received my B.S. in Psychology and B.A. in Computer Science, both with high distinction, from the University of Minnesota-Twin Cities, where I had the privilege of working with Prof. Richard Landers, Prof. Deniz Ones, and Prof. Gail Ferguson.
My primary research interests are centered around leveraging innovative technologies to enhance psychometric assessments and employee selection. I am also interested in advancing open science through the adoption of novel methodologies. My aim is to become an I-O psychologist who is an expert in quantitative analysis, with a keen focus on harnessing machine learning to elevate the accuracy and fairness of psychological measurement and personnel selection systems.
I am always excited to collaborate with other researchers and explore new fields. Do not hesitate to contact me if you are interested!
🔥 News
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2024.09, Our article, Will the real Linda please stand up… To large language models? Examining the representativeness heuristic in LLMs, selected as an oral spotlight presentation (top 2%) at COLM 2024.
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2024.08, also be a member of Chili Lab at Rice University.
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2024.08, also be a member of SMART Lab at Rice University.
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2024.08, Our article, On putting the horse (raters and criteria) before the cart (variance components in ratings), has now been published in Industrial and Organizational Psychology.
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2024.07, Our article, Will the real Linda please stand up… To large language models? Examining the representativeness heuristic in LLMs, has now been accepted at COLM 2024.
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2024.03, Our article, The weight of beauty in psychological research, has now been published in Industrial and Organizational Psychology.
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2023.12, Our sympoisum, To RIASEC and beyond: Advances in vocational interest research, has been accepted at SIOP 2024.
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2023.12, Our sympoisum, Future of performance prediction and evaluation: Artificial intelligence and big data, has been accepted at SIOP 2024.
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2023.08, I joined OWL Lab at Rice University as a first-year PhD student.
📝 Publications
From babbling to fluency: Evaluating the evolution of language models in terms of human language acquisition.
[PDF] [DOI] [Code]
[Cite]: Yang, Y.*, Wang, P.*, Plonsky, L. D., Oswald, F. L., & Chen, H. (2024). From babbling to fluency: Evaluating the evolution of language models in terms of human language acquisition. arXiv (Cornell University). https://doi.org/10.48550/arXiv.2410.13259
[pre-print]
Not yet: Large language models cannot replace human respondents for psychometric research.
[PDF] [DOI] [Code]
[Cite]: Wang, P., Zou, H., Yan, Z., Guo, F., Sun, T., Xiao, Z., & Zhang, B. (2024). Not yet: Large language models cannot replace human respondents for psychometric research. PsyArXiv. https://doi.org/10.31219/osf.io/rwy9b
[pre-print]
On putting the horse (raters and criteria) before the cart (variance components in ratings).
[PDF] [DOI]
[Cite]: Wang, P., Myeong, H., & Oswald, F. L. (2024). On putting the horse (raters and criteria) before the cart (variance components in ratings). Industrial and Organizational Psychology, 1–5. https://doi.org/10.1017/iop.2024.16
Will the real Linda please stand up… To large language models? Examining the representativeness heuristic in LLMs. 🏅Oral spotlight presentation (top 2%)
[PDF] [DOI] [Code]
[Cite]: Wang, P.*, Xiao, Z.*, Chen, H., & Oswald, F. L. (2024). Will the real Linda please stand up… To large language models? Examining the representativeness heuristic in LLMs. The Conference on Language Modeling (COLM 2024). https://doi.org/10.48550/arxiv.2404.01461
💬 Conference Presentations
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Wu, F., Wang, P., & Oswald, F. O. (2024). The influence of disability and career challenges on vocational interests. In Hoff, K. A. (Chair) (2024). To RIASEC and beyond: Advances in vocational interest research [Symposium]. Society for Industrial and Organizational Psychology Annual Conference, Chicago, IL, United States.
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Wang, P., & Oswald, F. L. (2024). Leveraging synthetic data for advancements in organizational research. In Liou, G., & Tay, L. (Co-Chairs) (2024). Future of performance prediction and evaluation: Artificial intelligence and big data [Symposium]. Society for Industrial and Organizational Psychology Annual Conference, Chicago, IL, United States.
🎖 Honors and Awards
- 2023, Mortensen Research Award & CLA Research Scholarship, University of Minnesota-Twin Cities. $1,500.
📖 Education
- 2023 - Present, Ph.D. in Industrial-Organizational Psychology, Rice University
- 2019 - 2023, B.S. in Psychology and B.A. in Computer Science, University of Minnesota-Twin Cities
💻 Internships and Research Experiences
- 2024.08 - Present, Chili Lab Research Assistant, Houston, TX, USA
- 2024.08 - Present, SMART Lab Research Assistant, Houston, TX, USA
- 2023.08 - Present, OWL Lab Research Assistant, Houston, TX, USA
- 2022.05 - 2023.06, CFL Lab Research Assistant, Minneapolis, MN, USA
- 2021.04 - 2023.06, TNTLAB Research Assistant, Minneapolis, MN, USA
- 2021.12 - 2022.07, ACR Homes Human Resources Intern, Minneapolis, MN, USA
- 2020.06 - 2022.07, Ones Green Lab Research Assistant, Minneapolis, MN, USA