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Descriptive statistics and advanced text analytics: A dual extension

Published online by Cambridge University Press:  14 December 2021

Emily D. Campion*
Affiliation:
Old Dominion University, Strome College of Business
Michael A. Campion
Affiliation:
Purdue University, Krannert School of Management
*
*Corresponding author. Email: ecampion@odu.edu

Abstract

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Type
Commentaries
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the Society for Industrial and Organizational Psychology

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References

Antons, D., Joshi, A. M., & Salge, T. O. (2019). Content, contribution, and knowledge consumption: Uncovering hidden topic structure and rhetorical signals in scientific texts. Journal of Management, 45(7), 30353076. https://doi.org/10.1177/0149206318774619 CrossRefGoogle Scholar
Banks, G. C., Woznyi, H. M., Wesselen, R. S., Frear, K. A., Berka, G., Heggestad, E. D., & Gordon, H. L. (2019). Strategic recruitment across borders: An investigation of multinational enterprises. Journal of Management, 45(2), 476509. https://doi.org/10.1177/0149206318764295 CrossRefGoogle Scholar
Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. The Journal of Machine Learning Research, 3, 9931022.Google Scholar
Campion, M. C., Campion, M. A., Campion, E. D., & Reider, M. H. (2016). Initial investigation into computer scoring of candidate essays for personnel selection. Journal of Applied Psychology, 101(7), 958975. https://doi.org/10.1037/apl0000108 CrossRefGoogle ScholarPubMed
Hannigan, T. R., Haans, R. F., Vakili, K., Tchalian, H., Glaser, V. L., Wang, M. S., Kaplan, S., & Jennings, P. D. (2019). Topic modeling in management research: Rendering new theory from textual data. Academy of Management Annals, 13(2), 586632. https://doi.org/10.5465/annals.2017.0099 CrossRefGoogle Scholar
Landauer, T. K., Foltz, P. W., & Laham, D. (1998). An introduction to latent semantic analysis. Discourse Processes, 25(2–3), 259284. https://doi.org/10.1080/01638539809545028 CrossRefGoogle Scholar
Min, H., Peng, Y., Shoss, M., & Yang, B. (2021). Using machine learning to investigate the public’s emotional responses to work from home during the COVID-19 pandemic. Journal of Applied Psychology, 106(2), 214229. https://doi.org/10.1037/apl0000886 CrossRefGoogle ScholarPubMed
Murphy, K. (2021). In praise of table 1: The importance of making better use of descriptive statistics. Industrial and Organizational Psychology: Perspectives on Science and Practice, 14(4), 461477.Google Scholar
Speer, A. B. (2018). Quantifying with words: An investigation of the validity of narrative-derived performance scores. Personnel Psychology, 71(3), 299333. https://doi.org/10.1111/peps.12263 CrossRefGoogle Scholar
Zhang, C., Yu, M. C., & Marin, S. (2021). Exploring public sentiment on enforced remote work during COVID-19. Journal of Applied Psychology, 106(6), 797810. http://dx.doi.org/10.1037/apl0000933 CrossRefGoogle ScholarPubMed