Big Data and the Challenge of Construct Validity

Michael T. Braun and Goran Kuljanin

Industrial and Organizational Psychology, 2015, vol. 8, issue 4, 521-527

Abstract: One important issue not highlighted by Guzzo, Fink, King, Tonidandel, and Landis (2015) is that simply establishing construct validity will be significantly more challenging with big data than ever before. One needs to only look as far as the other social sciences analyzing big data (e.g., communications, economics, industrial engineering) to observe the difficulty of making valid claims as to what measured variables substantively “mean.” This presents a significant hurdle in the application of big data to organizational research questions because of the critical importance of demonstrating validity in the organizational sciences as highlighted by Guzzo et al.

Date: 2015
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