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In this analysis, a factor loading value ≥ 0.40 was considered sufficiently high.
In the principal component analysis a factor loading on plant foods was derived and further analysis showed that subjects with high intakes of plant foods had low BMI.
With this analysis, a factor is considered significant if the associated eigen value is bigger than that corresponding to a given percentile, such as the 95th of the distribution of eigen values derived from a random dataset.
In the present study, clinical chorioamnionitis only showed an increased trend towards neonatal morbidity in the univariate analysis, a factor which could have been influenced by the small number of subjects.
In order to reveal the relational structure of the 17 potential predictor variables and thus reduce collinearity-related problems during data analysis in a bivariate logistic multiple regression analysis, a factor analysis was first performed using the main component method with subsequent orthogonal rotation.
For the purpose of this analysis, a factor in an "avoidable death" was defined as one that was assessed to be directly related to the death; in other words, if the factor had been avoided than the death would probably not have occurred [ 18].
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We calculated internal consistency of the scale and carried out an item analysis and a factor analysis.
When the expression values of the PFC genes were included in a rotated factor analysis (a rotated factor analysis extracts the most number of uncorrelated factors) to determine their shared variance, two factors were extracted.
In confirmatory factor analysis, a single-factor scale was supported.
Using a maximum-likelihood exploratory factor analysis, a one-factor solution was extracted.
Another analysis suggests a factor 12. Second myth: renewables cannot deliver secure power at scale.
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