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- Title
Your words reveal your thoughts: A two‐wave study of assessing language dimensions in predicting employee turnover intention.
- Authors
Seih, Yi‐Tai; Lepicovsky, Marketa; Chang, Yi‐Ying
- Abstract
Assessing turnover intention with explicit approaches (self‐report scales) contains several measurement limitations, including social desirability, impression management, and self‐defense, potentially resulting in reduced accuracy. To improve the accuracy of assessment, the current research conducted a two‐wave study to examine whether implicit variables provide incremental effect in predicting turnover intention, after controlling for explicit variables. A computerized text analysis program, Linguistic Inquiry and Word Count, was used to identify language dimensions in participants' writing samples, and these exported scores serve as implicit language variables. Results demonstrate that language variables provide significant incremental effect (9% of explained variance) in predicting turnover intention, and this effect lasted at a one‐month follow‐up. The language dimensions signal topics of concern associated with turnover intention.
- Subjects
LABOR turnover; IMPRESSION management; INTENTION; SOCIAL desirability; WORD frequency
- Publication
International Journal of Selection & Assessment, 2020, Vol 28, Issue 4, p484
- ISSN
0965-075X
- Publication type
Article
- DOI
10.1111/ijsa.12302