Open Access e-Journal Cardiometry No.16 May 2020
We should mention that Cardiometry is a fine diagnostics tool to assess heart life expectancy. Our experts, using Cardiocode in “red zones” in intensive care units, have confirmed effectiveness of noninvasive measuring of the hemodynamics data on the cardiovascular system performance in critical patients with different severity degrees. The medical staff involved had a possibility not only to monitor the state in each critical patient, but also to predict and control the progression of a disease. We are going to publish some results of this pilot study in our next issues.
We should mention that Cardiometry is a fine diagnostics tool to assess heart life expectancy. Our experts, using Cardiocode in “red zones” in intensive care units, have confirmed effectiveness of noninvasive measuring of the hemodynamics data on the cardiovascular system performance in critical patients with different severity degrees. The medical staff involved had a possibility not only to monitor the state in each critical patient, but also to predict and control the progression of a disease. We are going to publish some results of this pilot study in our next issues.
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Table 7
Eigenvalues and percentage of explained dispersion of factors
after Equimax rotation at the stage of the confirmatory factor
analysis
Factor: 1 2 3 4
Eigenvalue 1,633 1, 739 1,509 1,128
Dispersion (%) 20,41 21,73 18,86 14,1
Cumulative % 20,41 42,14 61 75,1
Table 8
Factor structure of the correlation relationships after Equimax
rotation at the stage of the confirmatory factor analysis
Ego-states
Number of factor
1 2 3 4
1 -0,7955
2 -0,7681
3 -0,7665
4 -0,7575
5 0,6116 -0,5729
6 0,6952
7 0,7865
8 0,9692
applied Spearman rank correlation and Kendall concordance
coefficients. Since the nature of the identified
relationships for each of these coefficients is the
same, in our further presentation, the data for the
Spearman rank correlation coefficients are given only
because of greater generality of the latter. Tables 10, 12
and14 herein show factor loading values up to 0.1 for
the purpose of a more detailed analysis of the latent
relations.
Table 9 and 10 given herein indicate the parameters
of the factor structure after using the orthogonal rotation
method (Varimax rotation).
Tables 13 and 14 herein show the results upon
completion of the Equimax rotation procedure.
At the final stage of the confirmatory factor analysis,
the Oblique rotation procedure has been also completed.
As it is the case with the 4 factor model, the factor
structure of the correlation relationships according
to the Oblique rotation method exactly corresponds to
that structure, which has been identified upon completion
of the Varimax rotation procedure.
As shown in Tables 9, 11 and 13, the hypothesis
for the applicability of using 3 factors to describe the
optimal latent relations structure, when the analyzed
objects with eigenvalues greater than 1 are referred to
as the main components of the scattering ellipse axes,
has been verified in full. The marker variables, which
allow us to give a clear interpretation of their possible
nature, remain the same under all types of rotation for
factors similar in structure. The above marker variables
are as follows:
Table 9
Eigenvalues and percentage of an interpretable dispersion of
factors after Varimax rotation at the final stage of confirmatory
factor analysis
Factor: 1 2 3
Eigenvalue 1,914 1,86 1,563
Dispersion (%) 23,93 23,25 19,54
Cumulative % 23,93 47,18 66,72
Table 10
Factor structure of the correlation relationships after Varimax
rotation at the final stage of confirmatory factor analysis
Ego-states
Number of factor
1 2 3
1 -0,8036 -0,3285
2 0,1052 -0,414 -0,7449
3 0,1763 -0,7707 -0,1869
4 0,324 -0,136 -0,7292
5 0,6007 -0,5949 0,1366
6 0,6958 -0,2628 -0,2711
7 0,7833 -0,1926
8 0,5494 -0,4525
- for factor 1: the SI values obtained when the respondents
simultaneously focus on those metaphoric cards,
which are associated with their highest readiness/best
conditioning for their exam, examination period and
successful overcoming a life’s trial;
- for factor 2: the SI values obtained when the respondents
focus on those metaphoric cards, which are associated
with their unreadiness/worst conditioning
for the exam;
- for factor 3: the SI values obtained when the respondents
focus on those metaphoric cards, which are associated
with their highest readiness/best conditioning
for a given exam only.
Thus, the latent relations between the obtained
data may be compactly described with the use of three,
practically unipolar, factors. Closeness to unipolarity
for each of these factors is provided by unidirectionality
of variables projections on each of them, when the
factor model tends to a simple structure. As known,
according to the Thurstone criteria, simple structures
are built in such a way that each variable has a high
loading on one factor and a low one on another in
parallel [4]. As a result, it significantly simplifies an
interpretation of latent relations to be identified. In
our case, the metaphoric cards selected by our respondents,
taking into account the commonality of the
cardiac responses to the related associations, may be
conditionally classified into the following groups:
1) cards-indicators of their integrative emotional
readi ness/conditioning for successful overcoming life’s
trials;
Issue 16. May 2020 | Cardiometry | 59