6 found
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  1.  31
    Predicting first-grade mathematics achievement: the contributions of domain-general cognitive abilities, nonverbal number sense, and early number competence.Caroline Hornung, Christine Schiltz, Martin Brunner & Romain Martin - 2014 - Frontiers in Psychology 5.
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  2.  19
    The relation between language and arithmetic in bilinguals: insights from different stages of language acquisition.Amandine Van Rinsveld, Martin Brunner, Karin Landerl, Christine Schiltz & Sonja Ugen - 2015 - Frontiers in Psychology 6.
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  3.  24
    Developmental Dynamics of General and School-Subject-Specific Components of Academic Self-Concept, Academic Interest, and Academic Anxiety.Katarzyna Gogol, Martin Brunner, Franzis Preckel, Thomas Goetz & Romain Martin - 2016 - Frontiers in Psychology 7.
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  4.  17
    Relative Age Effects in Mathematics and Reading: Investigating the Generalizability across Students, Time and Classes.Katharina Thoren, Elisa Heinig & Martin Brunner - 2016 - Frontiers in Psychology 7:195306.
    A child’s age in comparison to the age of her or his classmates (relative age) has been found to be an influential factor on academic achievement, particularly but not exclusively at the beginning of formal schooling. However, few studies have focused on the generalizability of relative age effects. To close this gap, the present study analyzes the generalizability across students with and without immigrant backgrounds, across three student cohorts that entered school under a changing law of school enrollment, and across (...)
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  5.  13
    Tversky and Kahneman’s Cognitive Illusions: Who Can Solve Them, and Why?Georg Bruckmaier, Stefan Krauss, Karin Binder, Sven Hilbert & Martin Brunner - 2021 - Frontiers in Psychology 12:584689.
    In the present paper we empirically investigate the psychometric properties of some of the most famous statistical and logical cognitive illusions from the “heuristics and biases” research program by Daniel Kahneman and Amos Tversky, who nearly 50 years ago introduced fascinating brain teasers such as the famous Linda problem, the Wason card selection task, and so-called Bayesian reasoning problems (e.g., the mammography task). In the meantime, a great number of articles has been published that empirically examine single cognitive illusions, theoretically (...)
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  6.  4
    Contrasting Classical and Machine Learning Approaches in the Estimation of Value-Added Scores in Large-Scale Educational Data.Jessica Levy, Dominic Mussack, Martin Brunner, Ulrich Keller, Pedro Cardoso-Leite & Antoine Fischbach - 2020 - Frontiers in Psychology 11.
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