Dynamic overconfidence: a growth curve and cross lagged analysis of accuracy, confidence, overestimation and their relations

Kausel E.E.; Carrasco F.; Reyes T.; Hirmas A.; Rodríguez A.

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