Uma comparação entre ANOVA e modelos lineares mistos para análise de dados de tempo de resposta

Mahayana Cristina Godoy,
Marcus Alexandre Nunes
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Abstract

In this paper, we argue that linear mixed models (LMMs) are more appropriate than Analysis of Variance (ANOVA) for the treatment of reaction time data. We analyze simulated data to show that LMMs decrease the chance of Type I errors by allowing the inclusion of more than one random effect (usually participants and items) within a single model. We also provide an introduction to the implementation and the data analysis of LMMs in R and suggest additional materials for researchers who want to start using these models. Our main goal is to encourage the use of LMMs amongst Brazilian psycholinguists.

Full-text of the article is available for this locale: Português (Brasil).

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