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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

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