More Than Words? Computer-Aided Text Analysis In Organizational Behavior And Psychology Research
Keywords
computer-aided text analysis; content analysis; language; organizational behavior
Abstract
Computer-aided text analysis (CATA) offers great promise for scholars who aspire to capture the beliefs, cognitions, and emotions of individuals as reflected in their narratives and written texts. We review advancements in the use of CATA in organizational studies and highlight the increased momentum towards incorporating rigor when using CATA. We review key CATA software and note the variance in possibilities of approaches when extracting meaning from languages. We then outline the potential for this technique to build knowledge surrounding organizational psychology and organizational behavior. Specifically, we highlight specific research streams that might benefit from the use of CATA and highlight cross-cultural perspectives that might further advance the use of this technique.
Publication Date
1-1-2018
Publication Title
Annual Review of Organizational Psychology and Organizational Behavior
Volume
5
Number of Pages
415-435
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1146/annurev-orgpsych-032117-104622
Copyright Status
Unknown
Socpus ID
85047896767 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85047896767
STARS Citation
Short, Jeremy C.; McKenny, Aaron F.; and Reid, Shane W., "More Than Words? Computer-Aided Text Analysis In Organizational Behavior And Psychology Research" (2018). Scopus Export 2015-2019. 10182.
https://stars.library.ucf.edu/scopus2015/10182