558
I. N. Carlotto et al.
Table 1 (continued)
Questions (Q) Discrimination of the questions
Q35
The University has strategies of incentives for scientific research and
dissemination of results that are related to health and health promotion for the
professors of its staff
1% was adopted, rejecting hypotheses whose descriptive value (p-value) was lower
than 0.001; Varimax
® rotation with factorial load retention > 0.40 was used; the
analysis of Factors and Analysis of Principal Components (APC) with a value that
is higher than 1.0 was applied to identify groups or groupings of variables, and thus
to understand the structure of a set of variables and to show the relations between
them, reducing the data set to a more manageable size while retaining as much of the
original information as possible. Cronbach’s alpha (acceptable index > 0.60) ensured
the internal consistency of the instrument used.
5 Results
The general profile of the sample points to the following data: 14% of the professors
(n = 199) were admitted to the universities surveyed in the early 2000s, 87% of
which (n = 1219) were linked to private universities. Among the sample population,
76% (n = 1070) were female, and 53.7% (n = 752) were between the ages of 46
and 55. When asked about their fields of expertise, 67% of respondents (n = 943)
reported health sciences, followed by engineering at 10% (n = 42) and humanities
at 7% (n = 109). The level of schooling varied only slightly: 75% (n = 1046) had
doctoral degrees while 19% (n = 266) had master’s degrees. In addition, 60.3% (n =
845) had 15 to 20 years of teaching experience, and the weekly workload was 40 h
for 26.2% of respondents (n = 368), 20 h for 16.1% of respondents (n = 226), and
30 h for 13.5% of respondents (n = 189). Of the 1400 professors surveyed, 79.5%
have a working relationship with only one educational institution (n = 1113). Table 2
shows the sociodemographic characteristics of the professors included in the study.
Statistical analysis used was Factorial Analysis (FA) with Principal Component
Retention (PCR) and Varimax
® rotation, whose retention of factorial loads was higher
than 0.40, and MCR with eigenvalues higher than 1. The Kaiser-Meyer-Olkin (KMO)
and Bartlett produced positive values of 0.88 and test value (p) of less than 0.001
and Cronbach’s alpha (α) with an index of 0.80.
FA produced six principal components (PC), i.e., PC1 to PC6, which were
titrated and were interpreted using Qualitative Content Analysis (QCA), according to
Bardin (2009), using the qualitative analysis software MAXQDA
® (2018), making
it possible to categorize the relevant information by analyzing expressions and more
recurring vocabularies. From this stage, the interfaces between the professor’s perception evidenced by the responses attributed to the instrument on HP in the universities,
and the use of the conceptual reference of the bioethics explored.
I. N. Carlotto et al.
Table 1 (continued)
Questions (Q) Discrimination of the questions
Q35
The University has strategies of incentives for scientific research and
dissemination of results that are related to health and health promotion for the
professors of its staff
1% was adopted, rejecting hypotheses whose descriptive value (p-value) was lower
than 0.001; Varimax
® rotation with factorial load retention > 0.40 was used; the
analysis of Factors and Analysis of Principal Components (APC) with a value that
is higher than 1.0 was applied to identify groups or groupings of variables, and thus
to understand the structure of a set of variables and to show the relations between
them, reducing the data set to a more manageable size while retaining as much of the
original information as possible. Cronbach’s alpha (acceptable index > 0.60) ensured
the internal consistency of the instrument used.
5 Results
The general profile of the sample points to the following data: 14% of the professors
(n = 199) were admitted to the universities surveyed in the early 2000s, 87% of
which (n = 1219) were linked to private universities. Among the sample population,
76% (n = 1070) were female, and 53.7% (n = 752) were between the ages of 46
and 55. When asked about their fields of expertise, 67% of respondents (n = 943)
reported health sciences, followed by engineering at 10% (n = 42) and humanities
at 7% (n = 109). The level of schooling varied only slightly: 75% (n = 1046) had
doctoral degrees while 19% (n = 266) had master’s degrees. In addition, 60.3% (n =
845) had 15 to 20 years of teaching experience, and the weekly workload was 40 h
for 26.2% of respondents (n = 368), 20 h for 16.1% of respondents (n = 226), and
30 h for 13.5% of respondents (n = 189). Of the 1400 professors surveyed, 79.5%
have a working relationship with only one educational institution (n = 1113). Table 2
shows the sociodemographic characteristics of the professors included in the study.
Statistical analysis used was Factorial Analysis (FA) with Principal Component
Retention (PCR) and Varimax
® rotation, whose retention of factorial loads was higher
than 0.40, and MCR with eigenvalues higher than 1. The Kaiser-Meyer-Olkin (KMO)
and Bartlett produced positive values of 0.88 and test value (p) of less than 0.001
and Cronbach’s alpha (α) with an index of 0.80.
FA produced six principal components (PC), i.e., PC1 to PC6, which were
titrated and were interpreted using Qualitative Content Analysis (QCA), according to
Bardin (2009), using the qualitative analysis software MAXQDA
® (2018), making
it possible to categorize the relevant information by analyzing expressions and more
recurring vocabularies. From this stage, the interfaces between the professor’s perception evidenced by the responses attributed to the instrument on HP in the universities,
and the use of the conceptual reference of the bioethics explored.