More Than Words? Computer-Aided Text Analysis in Organizational Behavior and Psychology Research
Bibliographic Data
| ID | 15735510 |
|---|---|
| Authors | Jeremy C Short (0000-0002-3026-2613, University of Oklahoma, corresponding author), Aaron F McKenny (0000-0003-0146-001X, University of Central Florida), Shane W Reid (0000-0001-7048-4010, University of Oklahoma) |
| Year | 2018 |
| Volume | 5 |
| Issue | 1 |
| Pages | 415-435 |
| Publication date | 2018-01-21 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Annual Review of Organizational Psychology and Organizational Behavior (JOURNAL) |
| Journal identifiers | ISSN: 2327-0608 • E-ISSN: 2327-0616 |
| Publisher | Annual Reviews (PUBLISHER • US) |
| DOI | 10.1146/annurev-orgpsych-032117-104622 |
| OpenAlex | W2609043918 |
| Language | EN |
| Citations received | 20 |
| References cited | 88 |
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
Cognitive psychology · Cognitive science · Epistemology · Industrial and organizational psychology · Knowledge management · Linguistics · Meaning (existential · Narrative · Computer Science · Cultural Differences and Values · Educational Research and Analysis · Management and Organizational Studies · Psychology · Social Psychology
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| Unique citing works | 20 |
|---|---|
| Citations per year | 2,86 |
| Citation span | 2019 - 2026 (8) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 19 |