Encyclopedia of Bioinformatics and Computational Biology 2019
DOI: 10.1016/b978-0-12-809633-8.20335-x
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Parametric and Multivariate Methods

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Cited by 24 publications
(15 citation statements)
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“…Once the multivariate normality was confirmed, we tested the factorial validity with maximum likelihood estimation. The model of the factor proposed is deemed valid when all items show a factorial load higher than 0.4 [ 44 , 47 , 48 ]. The construct’s validity was calculated through convergent validity (using the average variance extracted (AVE) for each factor and considering 0.50 as the minimum value) and the discriminant validity, confirmed by evidence that the AVE for each pair of factors is equal to or greater than the square of the correlation between them.…”
Section: Methodsmentioning
confidence: 99%
“…Once the multivariate normality was confirmed, we tested the factorial validity with maximum likelihood estimation. The model of the factor proposed is deemed valid when all items show a factorial load higher than 0.4 [ 44 , 47 , 48 ]. The construct’s validity was calculated through convergent validity (using the average variance extracted (AVE) for each factor and considering 0.50 as the minimum value) and the discriminant validity, confirmed by evidence that the AVE for each pair of factors is equal to or greater than the square of the correlation between them.…”
Section: Methodsmentioning
confidence: 99%
“…In this study, factor analysis identified the same number of factors identified in the original scale, however the distribution of items under the factors did not match that of the original scale. Additionally, the loadings of item number 3 and item number 9 are below cutoff point of >0.4 needed for any item to be attributed to a factor [49]. This is expected since the psychometric analyses of different validated versions of ARMS revealed different percentages of variance explained by these two factors [27][28][29].…”
Section: Discussionmentioning
confidence: 92%
“…We selected the number of factors per dataset based on an examination of the statistical outputs. The factor solution was expected to provide a comprehensive picture of the data, with a coherent interpretation of each factor, which was required to have at least three defining and unique participants to validate the established pattern within the factor (Cutillo, 2018;Thurstone, 1947).…”
Section: Discussionmentioning
confidence: 99%