Big Data

 

These and other related publications can be found on
Dr. Oswald’s Research Gate profile

Alexander III., L., Mulfinger, E., & Oswald, F. L. (2020). Using big data and machine learning in personality measurement: Opportunities and challenges. European Journal of Personality, 34, 632-648.

Oswald, F. L., Behrend, T. S., Putka, D. J., & Sinar, E. (2020). Big data in industrial-organizational psychology and human resources management: Forward progress for organizational research and practice. Annual Review of Organizational Psychology and Organizational Behavior, 7, 505-533.

Gonzalez, M. F., Capman, J. F., Oswald, F. L., Theys, E. R., & Tomczak, D. L. (2019). Where’s the I-O? Artificial intelligence and machine learning in talent management systems. Personnel Assessment and Decisions, 5.

Oswald, F. L., & Putka, D. J. (2017). Big data methods in the social sciences. Current Opinion in Behavioral Sciences, 18, 103-106.

Oswald, F. L., & Putka, D. J. (2017). Big data/techniques and I-O psychology. In S. G. Rogelberg (Ed.). The SAGE Encyclopedia of Industrial and Organizational Psychology (2nd ed.). Thousand Oaks, CA: SAGE Publications.

Harlow, L. L., & Oswald, F. L. (2016). Big data in psychology: Introduction to the special issue. Psychological Methods, 21, 447-457.

Oswald, F. L., & Putka, D. J. (2016). Statistical methods for big data: A scenic tour.  In S. Tonidandel, E. King, & J. Cortina (Eds.), Big data at work: The data science revolution and organizational psychology (pp. 43-63). New York: Routledge.

Putka, D., J., & Oswald, F. L. (2016). Implications of the big data movement for the advancement of I-O science and practice. In S. Tonidandel, E. King, & J. Cortina (Eds.), Big data at work: The data science revolution and organizational psychology (pp. 181-212). New York: Routledge.