Author: Louis Hickman, Josh Liff, Caleb Rottman, and Charles Calderwood

Louis Hickman (pictured) is an assistant professor of industrial-organizational psychology at Virginia Tech. He received his PhD from Purdue University and has research interests in applications of artificial intelligence, machine learning, and natural language processing in organizations, including addressing concerns about algorithmic bias and how these technologies influence workplace behavior. Josh Liff (PhD) is the director of research & development at HireVue, where he leads the organization's industrial-organizational psychology research team to guide the development and validation of next-generation assessment solutions that blend the state-of-the-art in industrial-organizational psychology with data science. Caleb Rottman (PhD) is the senior data scientist and technical lead at HireVue and has over 10 years of research experience in algorithms, statistics, data science, and applied mathematics. Charles Calderwood is an associate professor of industrial-organizational psychology at Virginia Tech. He received his PhD in psychology from the Georgia Institute of Technology and has research and methodological interests in occupational health, commuting, and dynamic multilevel statistical techniques.

Machine Learning Research Requires Smaller Sample Sizes than Previously Thought
Business and Management INK
August 13, 2024

Machine Learning Research Requires Smaller Sample Sizes than Previously Thought

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