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Children's overestimation of performance across age, task, and historical time: A meta-analysis.

Mengtian XiaAstrid M G PoorthuisSander Thomaes
Published in: Child development (2023)
Children tend to overestimate their performance on a variety of tasks and activities. The present meta-analysis examines the specificity of this phenomenon across age, tasks, and more than five decades of historical time (1968-2021). Self-overestimation was operationalized as the ratio between children's prospective self-estimates of task performance and their actual (i.e., objectively measured) task performance. A total of 246 effect sizes from 43 published articles were analyzed (4277 participants; 49.6% girls; sample mean ages range from 4 to 12; 86.0% of studies conducted in North America or Europe). Children's self-overestimation was robust across tasks, with their estimates of performance being 1.3 times their actual performance. In addition, children's self-overestimation decreased with sample age and increased with the year of data collection.
Keyphrases
  • young adults
  • systematic review
  • working memory
  • physical activity
  • machine learning
  • electronic health record
  • meta analyses
  • deep learning
  • case control
  • data analysis