The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Self-Regulation in Error Management Training: Emotion Control and Metacognition as Mediators of Performance Effects.
Abstract
In error management training, participants are explicitly encouraged to make errors and learn from them. Error management training has frequently been shown to lead to better performance than conventional trainings that adopt an error avoidant approach. The present study investigated self-regulatory processes mediating this effect. Fifty-five volunteer students learned a computer program under 1 of 3 conditions: error avoidant training, error management training, or error management training supplemented with a metacognitive module. As predicted, both forms of error management training led to better transfer performance than did error avoidant training (d = 0.75). Mediation hypotheses were fully supported: Emotion control and metacognitive activity (from verbal protocols) mediated performance differences. These findings highlight the potential of promoting self-regulatory processing during training.
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Cited by
Benefits of Training and Development for Individuals and Teams, Organizations, and Society
Aguinis, H., & Kraiger, K. (2009) · Annual Review of Psychology · doi:10.1146/annurev.psych.60.110707.163505 · Cited by 1,453
Mind-sets matter: A meta-analytic review of implicit theories and self-regulation.
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7 Emotion in Organizations: A Review and Theoretical Integration
Elfenbein, H. A. (2007) · Academy of Management Annals · doi:10.5465/078559812 · Cited by 1,035
Sitzmann, T., & Ely, K. (2011) · Psychological Bulletin · doi:10.1037/a0022777 · Cited by 897
The transfer of training: what really matters
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Metadata
- Authors
- Keith, N., & Frese, M.
- Venue
- Journal of Applied Psychology
- Published
- 2005
- Volume
- 90
- Issue
- 4
- Pages
- 677-691
- ISSN
- 0021-9010 (ISSN-L)
- 1939-1854
- OpenAlex
- W2107926070
- Cited by
- 478
- References
- 15
- FWCI
- 15.44
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
