The variance sum law and its implications for modelling [r-libre/2345]

Caron, Pier-Olivier et Lemardelet, Laura (2021). The variance sum law and its implications for modelling. The Quantitative Methods for Psychology, 17 (2), 80-86. https://doi.org/10.20982/tqmp.17.2.p080

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Catégorie de document :	Articles de revues
Évaluation par un comité de lecture :	Oui
Étape de publication :	Publié
Résumé :	Basic understanding of linear model is primordial in quantitative psychology and modelling. As an advanced topic for students in psychology, modelling data according to given sets of parameters can be challenging. In this paper, we address the variance sum law which states how to combine variance of variables into a new one. The paper uses a progressive pedagogical approach, presenting step by step the statistical prerequisites. An example with code in R is offered to support the presentation. Some matrix algebra is gently introduced to stimulate readers to more advanced topics.
Adresse de la version officielle :	https://www.tqmp.org/RegularArticles/vol17-2/p080/
Déposant:	Caron, Pier-Olivier
Responsable :	Pier-Olivier Caron
Dépôt :	25 juin 2021 13:58
Dernière modification :	25 juin 2021 13:58

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