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Intelligence IS Cognitive Flexibility: Why Multilevel Models of Within-Individual Processes Are Needed to Realise This [PDF]
Despite substantial evidence for the link between an individual’s intelligence and successful life outcomes, questions about what defines intelligence have remained the focus of heated dispute.
Damian P. Birney, Jens F. Beckmann
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On the Interpretation of Parameters in Multivariate Multilevel Models Across Different Combinations of Model Specification and Estimation. [PDF]
Hoffman L.
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A multilevel analysis of the contextual effects in distance education outcomes during COVID-19 [PDF]
The COVID-19 outbreak has forced countries to take extensive measures aimed at minimizing human contact. In this crisis period, distance education has played a crucial role in ensuring continuous learning.
Umut TÜRK
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[Background] Recent findings indicated that mental disorders are associated with both an up-regulation of negative affect and a down-regulation of positive affect (PA) as distinct processes.
Jan Schürmann-Vengels +5 more
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Objectives: The size of one's support network is positively related to health and well-being. It is therefore important to understand this association in people with Type 1 diabetes, as this could inform interventions.
Tian Cheyne +2 more
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A model-based approach for the analysis of the calibration of probability judgments [PDF]
The calibration of probability or confidence judgments concerns the association between the judgments and some estimate of the correct probabilities of events.
David V. Budescu +3 more
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Analysis of Treatment-Control Pre-Post-Follow-up Design Data [PDF]
The treatment-control pre-post-follow-up (TCPPF) design is a popular means to demonstrate that a treatment group is superior to a control group over time.
Sharpe, Donald, Cribbie, Robert A.
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Physical multilevel models of inelastic deformation that take into account the material structure evolution hold promise for the development of functional materials.
Peter Trusov +2 more
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Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python
The popularity of Bayesian statistical methods has increased dramatically in recent years across many research areas and industrial applications. This is the result of a variety of methodological advances with faster and cheaper hardware as well as the ...
Tomás Capretto +5 more
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