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Sarafoglou, Alexandra; van der Heijden, Anna; Draws, Tim; Cornelisse, Joran; Wagenmakers, Eric-Jan; Marsman, Maarten – Psychology Learning and Teaching, 2022
Current developments in the statistics community suggest that modern statistics education should be structured holistically, that is, by allowing students to work with real data and to answer concrete statistical questions, but also by educating them about alternative frameworks, such as Bayesian inference. In this article, we describe how we…
Descriptors: Bayesian Statistics, Thinking Skills, Undergraduate Students, Psychology
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Bebermeier, Sarah; Hagemann, Anne – Teaching of Psychology, 2019
We describe how students can be encouraged to actively review course contents on inferential statistics by creating application-oriented exercises and sample solutions on the basis of concrete and realistic research articles and their data. For evaluation purposes, we use students' reactions to the activity and investigate its effects on the final…
Descriptors: Statistics, Course Content, Statistical Inference, Learning Activities
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Ferrero-Ferrero, Idoya; Fernández-Izquierdo, María Ángeles; Muñoz-Torres, María Jesús; Bellés-Colomer, Lucía – International Journal of Sustainability in Higher Education, 2018
Purpose: The purpose of this study is to improve the understanding of stakeholder engagement in the context of sustainability reporting (SR) for higher education institutions (HEIs), together with the materiality principle and stakeholder expectations. Design/methodology/approach: This research uses an exploratory approach based on content…
Descriptors: Higher Education, Sustainability, Stakeholders, Content Analysis