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 11
Eigenvalues and percentage of an interpretable dispersion
of factors after Quartimax rotation at the final stage of
confirmatory factor analysis
Factor: 1 2 3
Eigenvalue 2,388 1, 945 1,005
Dispersion (%) 29,85 24,13 12,56
Cumulative % 29,85 54,16 66,72
Table 12
Factor structure of the correlation relationships after Quartimax
rotation at the final stage of the confirmatory factor analysis
Ego-states
Number of factor
1 2 3
1 0,1671 -0,8282 -0,2114
2 0,3202 -0,4789 -0,6368
3 0,2279 -0,7782
4 0,5261 -0,1929 -0,5858
5 0,5386 -0,5576 -0,3639
6 0,7462 -0,2625
7 0,806
8 0,6575 -0,2702
Table 13
Eigenvalues and percentage of an interpretable dispersion
of factors after Equimax rotation at the final stage of the
confirmatory factor analysis
Factor: 1 2 3
Eigenvalue 1,854 1, 861 1,623
Dispersion (%) 23,17 23,26 20,29
Cumulative % 23,17 46,43 66,72
Table 14
Factor structure of the correlation relationships after Equimax
rotation at the final stage of the confirmatory factor analysis
Ego-states
Number of factor
1 2 3
1 -0,8043 -0,3287
2 -0,4158 -0,7471
3 0,1709 -0,7709 -0,1912
4 0,3006 -0,1373 -0,7403
5 0,6065 -0,5934 0,1163
6 0,686 -0,2622 -0,2954
7 0,776 -0,2206
8 0,5327 -0,4721
2) cards-indicators of their differentiated emotional
unreadiness/unconditioning for successful overcoming
the certain life’s trials;
3) cards-indicators of their differentiated emotional
readiness/conditioning for successful overcoming the
certain life’s trials.
Special attention deserves a significant contribution
to the first selected factor (conventionally it may be defined
as an integrative readiness/conditioning for life’s
trials) among the SI values obtained when the respondents
focus on those metaphoric cards, which are associated
with their unreadiness/unconditioning for their
examination period. The matter is that, in their posttest
interviews, many respondents have mentioned their
unwillingness to once again retrieve their negative states
associated with this kind of the metaphoric cards. They
desired to actively use in practice the revealed chance
to evoke their positive emotional states with the use of
the metaphoric cards. In other words, at this stage the
respondents have expressed a constructive form of their
supra-situational activity aimed at a positive correction
of their own emotional state (the subject-genetic nature
of such supra-situational activity is described in more
detail in [5-7]). In these cases, the metaphoric associative
cards become effective stimulation for the creation
and maintenance of positive mindset to achieve a success
in overcoming significant life difficulties.
As we see from the data presented, the SI values for
positive emotional states form a part of Factor 1 and
3, as a rule. The exception is those SI values recorded
when the respondents focus on those metaphoric
cards, which are associated with their unreadiness/
unconditioning for their examination period. We have
described the possible cause of this exception in the
preceding paragraph.
The SI values related to the negative emotional
states are the major contributors to factor 2. Moreover,
this regularity and this factor structure, as a whole, are
retained for all the rotation variants used. This, in addition
to the fact of statistically significant differences
in average SI values, also demonstrates a substantial
commonality of the positive emotional states, which
considerably differs from that substantial commonality
of those SI values, which have been recorded for the
negative emotional states.
It should be noted that the most powerful factors in
all variants of rotation include both the SI values for all
positive emotional states, when they have been actualized
individually, and those SI values, which have been
reported, when our respondents have worked with the
cards, which are associated with all three positive emotional
states. This suggests that the factor structure
confirms that at the psycho-physiological level there is
a positive training effect produced by alternate actualization
of positive emotional states by the respondents
using the metaphoric cards selected by them.
Conclusions
The obtained evidence data allow concluding that
the metaphoric associative cards can serve not only as
a forecasting tool, a sort of predictors of human behavior
in certain emotionally charged, stressful situations,
60 | Cardiometry | Issue 16. May 2020