Key result
HJ-Biplot analysis allows simultaneous examination of multiple data in executive function studies, overcoming limitations of traditional analysis of variance.
Why the study?
Analysis of variance is currently used to assess executive functions, but HJ-Biplot analysis overcomes its limitations by allowing simultaneous examination of multiple data.
HJ-Biplot analysis allows simultaneous examination of multiple data in executive function studies, overcoming limitations of analysis of variance.
Executive functions (EFs) are considered a multiple system of processing, associated with different components, such as inhibition, working memory, planning, among others. The study of EFs requires the assessment of all its components, having in mind the socio-demographic and cognitive characteristics of the target population. Nowadays, analysis of variance is used to achieve this goal; nevertheless, HJ-Biplot analysis overcome its limitations by allowing simultaneous examination of multiple data, such as those generated in EFs studies. This study evaluates possible differences in the EFs of 80 8-year-old Colombian children by their sex, socio-economic status and type of school they attend, to exemplify the advantages of using HJ-Biplot analysis in neuropsychological studies.
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Ruíz et al. (2018) studied Executive functions (n=80). HJ-Biplot analysis vs. Analysis of variance was evaluated on Differences in executive functions by sex, socio-economic status and type of school. HJ-Biplot analysis allows simultaneous examination of multiple data in executive function studies, overcoming limitations of traditional analysis of variance.
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