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Filters: First Letter Of Last Name is G and Author is Gibson,Carter  [Clear All Filters]
2023
J. Hardy, Gibson, C., Koenig, N., and Frost, S., “Improving measurement and prediction in personnel selection through the application of machine learning”, Personnel Psychology, 2023.
J. Hardy, Theil, C., Gibson, C., and Klotz, A., “Safe Inside: How internal sourcing lowers voluntary turnover in tight labor markets.”, Academy of Management’s 83rd Annual Meeting. Boston, MA, 2023.
2021
J. Hardy, Gibson, C., Carr, A., and Dudley, N., “Quitters wouldn't prosper: Examining the relationship between applicant potential and attrition behavior during assessments”, International Journal of Selection and Assessment, vol. 29, no. 1, pp. 55-64, 2021.
2019
C. Gibson, Koenig, N., Griffith, J., and Hardy, J., “Selecting for retention: Understanding turnover pre-hire”, Industrial and Organizational Psychology-Perspectives on Science and Practice, vol. 12, pp. 338-341, 2019.
2018
J. A. Griffith, Gibson, C., Medeiros, K., MacDougall, A., Hardy, J., and Mumford, M., “Are You Thinking What I'm Thinking?: The Influence of Leader Style, Distance, and Leader–Follower Mental Model Congruence on Creative Performance”, Journal of Leadership and Organizational Studies, vol. 25, no. 3, pp. 153-170, 2018.
2017
J. Hardy, Gibson, C., Sloan, M., and Carr, A., “Are applicants more likely to quit longer assessments? Examining the effect of assessment length on applicant attrition behavior”, Journal of Applied Psychology, vol. 102, pp. 1148-1158, 2017.
J. A. Griffith, Gibson, C., Medeiros, K., MacDougall, A., and Hardy, J., “Future directions in CIP research.”, Society for Industrial & Organizational Psychology’s 32st Annual Conference. Orlando, FL, 2017.
2014
C. Gibson, Hardy, J., Baur, J. E., Frink, D., and M. Buckley, R., “An examination of realistic job previews and expectation lowering procedures for expatriates”, Annual Meeting of the Southern Management Association. Savannah, GA, 2014.
C. Gibson and Hardy, J., “Gender differences in creative problem-solving may be an artifact of measurement differences”, Association for Psychological Science’s 26th Annual Conference. San Francisco, CA, 2014.
0
J. Hardy, Gibson, C., Koenig, N., and Frost, S., “Using Deep Learning in Pre-hire Assessments”, Personnel Psychology.