Interaction effect: Are you doing the right thing?


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2022
Historique:
received: 28 02 2022
accepted: 05 07 2022
entrez: 20 7 2022
pubmed: 21 7 2022
medline: 23 7 2022
Statut: epublish

Résumé

How to correctly interpret interaction effects has been largely discussed in scientific literature. Nevertheless, misinterpretations are still frequently observed, and neuroscience is not exempt from this trend. We reviewed 645 papers published from 2019 to 2020 and found that, in the 93.2% of studies reporting a statistically significant interaction effect (N = 221), post-hoc pairwise comparisons were the designated method adopted to interpret its results. Given the widespread use of this approach, we aim to: (1) highlight its limitations and how it can lead to misinterpretations of the interaction effect; (2) discuss more effective and powerful ways to correctly interpret interaction effects, including both explorative and model selection procedures. The paper provides practical examples and freely accessible online materials to reproduce all analyses.

Identifiants

pubmed: 35857797
doi: 10.1371/journal.pone.0271668
pii: PONE-D-22-05978
pmc: PMC9299307
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0271668

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Sara Garofalo (S)

Department of Psychology "Renzo Canestrari", University of Bologna, Cesena, Italy.

Sara Giovagnoli (S)

Department of Psychology "Renzo Canestrari", University of Bologna, Cesena, Italy.

Matteo Orsoni (M)

Department of Psychology "Renzo Canestrari", University of Bologna, Cesena, Italy.

Francesca Starita (F)

Department of Psychology "Renzo Canestrari", University of Bologna, Cesena, Italy.

Mariagrazia Benassi (M)

Department of Psychology "Renzo Canestrari", University of Bologna, Cesena, Italy.

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Classifications MeSH