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Gabriele Morganti; Alexandra Lascu; Gennaro Apollaro; Laura Pantanella; Mario Esposito; Alberto Grossi; Bruno Ruscello – Sport, Education and Society, 2024
Talent identification and development systems (TIDS) adopt a deterministic perspective (i.e. athletes' future state/performances can be predicted by observations of their initial state/performance), which encourages early identification and specialisation in sport. In this framework, the main aim of sport systems is to enhance predictability and…
Descriptors: Talent Identification, Talent Development, Athletics, Athletes
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Waismeyer, Anna; Meltzoff, Andrew N.; Gopnik, Alison – Developmental Science, 2015
How do young children learn about causal structure in an uncertain and variable world? We tested whether they can use observed probabilistic information to solve causal learning problems. In two experiments, 24-month-olds observed an adult produce a probabilistic pattern of causal evidence. The toddlers then were given an opportunity to design…
Descriptors: Toddlers, Young Children, Probability, Causal Models
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Arendt, Jacob Nielsen – Economics of Education Review, 2008
This study provides the first estimates of the causal impact of education on hospitalization. It improves upon existing studies on health and education by using a larger data set and more efficient estimation methods. Using a Danish school reform to identify a causal effect of education on hospitalization, we find that education has a substantial…
Descriptors: Academic Achievement, Probability, Causal Models, Hospitals
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Griffiths, Thomas L.; Tenenbaum, Joshua B. – Cognition, 2007
People's reactions to coincidences are often cited as an illustration of the irrationality of human reasoning about chance. We argue that coincidences may be better understood in terms of rational statistical inference, based on their functional role in processes of causal discovery and theory revision. We present a formal definition of…
Descriptors: Probability, Statistical Inference, Bayesian Statistics, Theories