Examples of using Each construct in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
Figure 1shows the definition of each construct formed.
Each construct should be considered as a variable that should be individually evaluated.
It enabled us to have an initial recognition of the theory behind each construct.
Keywords related to each construct researched were used: rehabilitation, communication and stroke.
In the fifth section,research findings are discussed with an emphasis on the analysis of each construct.
Subsequently, an appraisal of the items that make up each construct in relation to local culture was performed.
The formation of each construct used the coefficients for each of the variables in the validated models.
The temporal units andthe measurement unit of the answer from each construct were highlighted in bold.
In this sense, each construct involves an epidemiological instrument that needs to be incorporated into the main questionnaire.
For others, it had been considered the midpoint between the centroid of the previous level andthe level centroid concerned for each construct.
For the assessment of the proposed model, based on variables defined for each construct, was used structural equation modelling technique.
Multicollinearity high correlation, r> 80 and singularity perfect correlation,r 1.0 was verified in the correlation matrix among the items of each construct.
Based on a factorial analysis, an indicator for each construct had been generated by summing the score of their respective latent variables.
The four identified constructs were operationalized by numerical values corresponding to arithmetic means from individual questions composing each construct Table 1.
For this purpose, the overall means andstandard deviation obtained for each construct and respective dimensions were analyzed, as shown in Table 1.
The aforementioned studies that validated the original scale of the PACE questionnaire presented reproducibility results that only considered the mean value of the score observed in each construct.
Table 1shows the factor loadings of each construct, according to their formation on the factors, explained variance and Cronbach's alpha values.
As for the determination of the levels of the nurses' relation to the career accordingto type of hospital, means for each construct by type of institution are shown in Figure 1.
It was possible to identify the items of each construct, analyzed together and converged to a single factor, suggesting that they are all one-dimensional.
Another analysis that is needed is to compare the correlations squared value which are placed at the top of the matrix presented in Table 2 with the variance extracted by each construct- AVE Table 1.
Table 1 shows the factor loading of each construct according to the formation of factors, explained variance and Cronbach's alpha coefficient values.
From this we created a conceptual framework basedon the definitions and theoretical specificities of each construct and outlined a joint methodological analysis for both concepts.
Confirmation of the proposed model Figure 1 occurred with the use of Exploratory Factor Analysis EFA and Confirmatory Factor Analysis CFA,to measure the relationship between the variables of each construct.
This research proposes andtests a model that considers the characteristics of each construct, as well as the field of study, advancing over previous proposals.
As low literacy in health, poor understanding of labels and low risk awareness are summarized as consumer health vulnerability indicators,three forms were applied, one for each construct.
Table 1 shows the mean scores,item-total score correlations of each construct and Cronbach's alpha for the psychosocial variables associated with physical activity behavior.
In order to learn about the employees' view about work related values, work satisfaction and organizational citizenship behaviors,the statistic technique of exploratory factor analysis was used for each construct separately.
Finally, a confirmatory factorial analysis was conducted with variables from each construct in order to analyze the power of explanation of the variables together with each dimension of BPM.
Questions that had low correlations within their blocks were therefore gradually excluded in order to group the questions based on a factorloading cut-off point of> 0.400 for the formation of each construct.
Its theoretical essence is intimately connected to the nature of each construct, which corresponds to the economic, institutional, political and cultural dimensions associated with the respective criteria.