Additionally, Table3demonstrates a strong positive correlation between CO2emissions and available energy, while all other variables have a weak positive correlation. The model’s pairwise correlations are all statistically significant at the 1% level. Table 3 Correlation matrix Full size table The econo...
Using data from 2,038 subordinates, we calculated the disattenuated correlations and profile similarities among these measures. The results supported convergent but not divergent validity: 58.7% (12.6%) of the correlations expected to diverge had confidence intervals with upper limits above 0.80 (...
In the lower triangle of the correlation matrix, we report pairwise correlations across waves 1, 2, 4, 5, and 6 (w1, w2, w4, w5, and w6) for the depressive symptoms score (EURO-D) and the effort-reward imbalance (ERI) score. The upper triangle of the matrix shows the total numbe...
(2016) recommend using the heterotrait–monotrait ratio (HTMT) of correlations based on the multitrait-multimethod matrix. In this study, the HTMT values for the constructs were all below 0.9, signifying good discriminant validity (as presented in Table 3). Overall, the results of the construct...
Table 1 displays the within-person correlation matrix for the variables included in the present study in the daily data, with reported between-person means, standard deviations, and between-person correlations on the diagonal. Table 2 displays the same, but for the weekly data. Upon inspection ...
Euclidean distance matrix A symmetric matrix, in which each element is computed by estimating the Euclidean distance between the centre coordinates of two brain regions. Network diffusion models (NDMs). Computational models simulating Alzheimer disease progression on brain networks using a network heat eq...
These correlations are, approximately, the summary statistics that are modeled in the variance component analyses. Table 1 Total number of pairs and average of sampled pairs for relationship k Full size table Mixed linear model implementing a numerator relationship matrix based on pedigree information ...
We review a recent neural implementation of Canonical Correlation Analysis and show, using ideas suggested by Ridge Regression, how to make the algorithm r... Z Gou,C Fyfe - 《Neural Networks the Official Journal of the International Neural Network Society》 被引量: 91发表: 2004年 Neural netwo...
On the Relationship Between Squared Canonical Correlation and Matrix NormIn research on approximating factor analysis (FA) by principal component analysis (PCA), FA loadings and PCA loadings are typically compared using some measure of closeness or distance. Previous studies have used the average ...
A spurious relationship is one where a possible relationship network between members exists based on event correlation. Because these two members jointly participate in the same event, an association relationship is formed. However, due to regional and time differences, actually this relationship does ...