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In this case, each dimension has unit variance and each pair of dimensions is uncorrelated.
To investigate possible overlap of dimensions of poverty, we calculated the estimates for the Spearman's rank correlation coefficients between each pair of dimensions of deprivation (table 3).
To illustrate the effect of using reference populations with varying evolutionary distances from true mixing populations, we performed a set of four simulations in which we varied one reference population in a pair of dimensions: (1) time depth of divergence from the true ancestor and (2) drift since divergence.
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We used the DEMATEL method to compare pairs of dimensions with criteria to establish and manipulate the network diagram and illustrate relational influences.
The highest convergence values were found for the following pairs of dimensions: "overload - exhaustion" (r = 0.58, p < 0.001), "lack overload - exhaustioncism" (r = 0.58, p < 0.001), and "neglack"-"efficiency" (r = 0.49; p < 0.001).
Both the 3L and 5L presented an acceptable degree of association and similar correlation pattern with the SF-36v2 in some pairs of dimension, i.e. mobility versus physical functioning; pain/discomfort versus bodily pain; and anxiety/depression versus mental health.
Figure 4 The dependence of the extinction spectra of two dielectric-core-gold-shell nanocylinder pairs on dimensions.
Mediational analyses on eight significant pairs of HRQoL dimensions showed that the degree of SOC totally mediated variations of global quality of life (p < 0.001) as well as cognitive and social functioning (p <0.05) scores between T1 to T2.
40 Item-factor loadings exceeding 0.30 were regarded as acceptable as per Hair et al. 41 Further, construct validity was studied by the degree of linear association between pairs of two dimensions; Pearson's correlation coefficients (r) were described.
Two pairs of ultrasonic dimension crystals were placed on the endocardial and epicardial surfaces of the left ventricle in order to record regional wall thickness and function.
We show that every spectral pair can be factored (in the sense of Cartesian products) as a product of two pairs of lower dimension where the first factor is a fundamental domain, and the second a simple factor.
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