Dynamic overconfidence: a growth curve and cross lagged analysis of accuracy, confidence, overestimation and their relations
Keywords: Judgment and decision making; cross, lagged analyses; growth curve modelling; overconfidence
Abstract
Research has paid little attention to how overconfidence evolves over time. We examined how task experience (experience within a task using a sequence of items) and outcome feedback affected accuracy, confidence and overconfidence in experiments over several trials. We conducted five studies involving 614 participants and used growth curve modelling and cross-lagged analyses. Findings revealed that mere task experience (without feedback) reduced overestimation linearly. Task experience coupled with feedback reduced overconfidence quadratically; the decreasing rate was initially strong but faded away over time. The decrease in overestimation was explained due to accuracy increasing at a faster rate than confidence did. Accuracy had lagged effects on confidence; a correct estimate led to more confidence in a subsequent estimate. We also found some evidence indicating that confidence had a negative lagged influence on accuracy. This dynamic influence between accuracy and confidence is a unique finding in the overconfidence literature.
Más información
| Título según WOS: | Dynamic overconfidence: a growth curve and cross lagged analysis of accuracy, confidence, overestimation and their relations |
| Título según SCOPUS: | Dynamic overconfidence: a growth curve and cross lagged analysis of accuracy, confidence, overestimation and their relations |
| Título de la Revista: | Thinking and Reasoning |
| Volumen: | 27 |
| Número: | 3 |
| Editorial: | Taylor and Francis Ltd. |
| Fecha de publicación: | 2021 |
| Página final: | 444 |
| Idioma: | English |
| DOI: |
10.1080/13546783.2020.1837241 |
| Notas: | ISI, SCOPUS |