Exact(2)
Indeed, the fact that a part of the Euclidean distances is explained by those specificities leads to a modification of the proportion explained by the dimensions.
73% or more of the variance was explained by the dimensions (range 73,3%to89,8%8%, mean 79%,) see Table 2.
Similar(58)
Confirmatory factor analysis (CFA) using the two-step structural equation model (AMOS version 5.0 software) was applied to test the extent to which each SAQ-C dimension was explained by items and the extent to which safety culture was explained by the five dimensions.
This difference may be explained by the small dimensions of the temple which allowed it to be oriented to the east in the usual fashion.
The lowest values of Cronbach's alpha obtained for the subscale "Impact of Support in Experiences" can be explained by the different dimensions assessed by this subscale.
The total variance explained by the three dimensions of empathy was 37.4% which is similar to the values reported in the literature [ 17].
Stress measure for the results of the current study was 0.3 (good fit) while the squared correlation (RSQ) was 0.91 meaning that 91%% of variance in the model could be explained by the two dimensions [ 25, 26].
The low percentage of variance explained by the seven dimensions is a limitation of our study and reflects the challenge of parsing many very different contributing factors to overall social vulnerability (from self esteem to SES to social supports and engagement) into distinct domains.
As with factor analysis, the proportion of the variance (inertia) explained by the main dimension (axis) is calculated, and the number of retained dimensions is chosen, by the scree test, to obtain a cumulative percentage of acceptable variance [30].
The resulting 7-item GSE functioned reasonably well in this sample, and a higher variance proportion (64.5%) was explained by the first dimension in this version.
Since uniform criteria have yet to be established for when a potential additional dimension would have to be considered, results were interpreted according to the recommendations of Linacre [ 33]: > 60% of variance explained by the Rasch dimension and ≤ 5% explained by the greatest potential additional dimension was considered as good.
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