In addition, three canonical correlation
analyses were conducted to examine the relationship between the climate variables to a) likelihood of reporting concussion symptoms to the coach in a regular or big game; b) barriers to telling the coach about concussion symptoms (i.e., immediate risks; long term risks; and non-recognition of symptom severity), and c) perceptions of genuine caring (i.e., self, coach, and teammates).
We used canonical correlation
to assess the relationship between two sets of variables: coping variables and help-seeking variables.
A set of descriptive statistics, Pearson's correlations, and canonical correlation
analyses were employed.
These studies have used canonical correlation
as the statistical technique that most closely models the interrelationships specified by the ICM.
Function CR (1) DF (2) F (3) Eigenvalue Percent C% (4) P value 1 0.89 16 47.82 4.72 80.30 80.30 < 0.001 2 0.48 9 21.61 0.91 15.54 95.84 < 0.001 3 0.19 04 10.90 0.23 03.97 99.82 < 0.001 4 0.01 01 01.98 0.01 00.17 100.00 > 0.001 (1) Canonical correlation
; (2) Degrees of Freedom; (3) Approximate F; (4) Cumulative percent.
The approach used in this paper to fuse both visual and textual descriptors together is the Canonical Correlation
Analysis (CCA) which is technically able to analyze the data involving multiple sets of variables and is theoretically consistent with that purpose as shown in Fig.
analysis was used to evaluate relationships among morphology (5 items), physical fitness (8 tests) and motor coordination (4 tasks).
Before the canonical correlation
analysis, the multicollinearity was evaluated by the condition number of the genetic correlation matrix.
Given the continuous nature of four predictor work-family balance variables and six criterion outcome variables, Canonical Correlation
(CC) was performed followed by Regression Analysis.
analysis (CCA) is a technique of multivariate statistical analysis, which deals with the mutual relationships of two sets of variables [1-3].
CCA is used to find two transformations, [W.sub.M] and [W.sub.N], to maximize the canonical correlation
[rho], as described in
analysis (CCA) is a powerful method to measure the coexpression between two sets of genes .