Initially, the descriptive statistics of the instruments used in this study were calculated, by verifying Means (M) and Standard Deviations (SD), and in the SDS the lowest mean were found in the types Realistic (M= 13.97; SD= 9.61) and Conventional (M= 14.84; SD= 10.37) and the highest in Social (M= 22.53; SD= 10.72) and Entrepreneur (M= 22.08; SD= 10.41). In relation to the means in the EAE-EP, the Future Planning factor obtained the lowest mean (M= 26.13; SD= 4.166) and the highest was in the Occupational Information Collection factor (M= 34.07; SD= 5.604). Then the Student’s ttest was used in order to verify differences in responses according to the variables gender, type of school and age, and for the latter category the sample was divided into two groups, the first up to 16 years of age and the second above 16 years.

Regarding the professional interests, differences were initially sought based on gender, with women presenting higher mean in the Social type (t(604) = 6.737; p< 0.001) when compared to men while the latter showed higher mean in the Realistic types (t(608) = -13.121, p< 0.001), Entrepreneur (t(608) = -4.785, p< 0.001) and Conventional (t(607) = -2.947, p< 0.001) and the effect size was strong for the Realistic type (d= 0.90), moderate for the Social type (d= 0.55) and small for the Entrepreneur (d= 0.38) and Conventional types (d= 0.24). In the comparison by type of school, students from private schools had higher mean in the Realistic types (t(607) = -3,366, p< 0,001), Investigative (t(604) = -2.567, p< 0.05) and Entrepreneur (t(607) = -2.236, p< 0.001) with small effect size (d= 0.35; d= 0.28 and d= 0.24 respectively) when compared with students from public schools. Regarding age, differences between the participants were found only in the Conventional type, with students aged 16 years or less showing higher scores (t(607) = 2.007, p< 0.001), but with small effect size (d= 0.16).

Regarding self-efficacy beliefs, the gender variable generated a significant difference only in the Occupational Information Collection factor, in which women exhibited higher means when compared to men (t(531) = 2.889, p< 0.001). In the comparison by type of school, students from private schools differed from students from public schools with higher scores in all the domains assessed by EAE-EP: Self-assessment (t(145) = -2.175, p< 0.05), Collection of Occupational Information (t(610) = -2.768, p< 0.05), Search for Practical Professional Information (t(610) = -2.531, p< 0.05), Future Planning (t (609) = -3.966, p< 0.001) and General Score (t(609) = -3.197, p< 0.05). When considering age, only in the Factor Searching for Professional Information Practices significant differences were found, in which participants over 16 years of age obtained higher mean in relation to younger participants (t(455) = -2.047, p< 0.05). In all the differences found, the effect size was small with Cohen’s d ranging between 0.10 and 0.40. Then, we sought to verify possible differences in the types of interests assessed by the SDS and in the EAE-EP factors according to the school grade using ANOVA and Tukey’s post hoc test. In the SDS, only the Investigative and Entrepreneur types did not show significant results, while in EAE-EP, no statistically significant results were found in three of the four factors evaluated, in addition to the general score (Table 1).

It was observed that there was the formation of subsets in all types of professional interests that presented significant results. The 1st year students had the highest scores in all types in relation to the 2nd and 3rd year students, a result that may be related to the fact that they are still not so pressed in terms of decision and professional exploration, generating high levels of interest in different areas that may not actually be real. The Future Planning factor was the only one from EAE-EP with significant results; however, it did not generate subgroups in group differentiation. However, the highest scores were obtained by students in the 3rd year of high school, indicating that this group tends to be more likely to believe in its ability to reflect on issues related to their professional future. Subsequently, we sought to verify the correlations between the factors (Table 2).

The correlations obtained were mostly null or without statistical significance. Among those statistically significant, the Investigative type showed correlations with the three factors and with the EAE-EP General Score, and the correlations were positive between the type and the factors Occupational Information Search, Future Planning and General Score and negative with the Occupational Information Collection factor, but with small magnitude in all coefficients. This data suggests that the more the person has investigative interests, the more he or she tends to have beliefs in his/her ability to get in touch with professionals in his/her preferred area, plan his/her future and, in general, has a higher level of self-efficacy for the professional choice. Subsequently, partial correlations were performed controlling the variables gender, type of school and school grade; however, the results did not show significant changes.

Finally, linear regressions were performed using the self-efficacy factors for professional choice as the dependent variable and the six types of professional interests as independent variables. Preference for this model for the analysis was based on the assumptions of Lent et al. (2004) in which self-efficacy in specific domains is located after the professional interests, between goals and actions. Table 3 shows the results of the regression analysis.

The results indicated that in the self-assessment factor the determination coefficient (adjusted R²) explained 14.6% of the variability F(10) = 1.248; p = 0.25, and the types Investigative, Artistic, Social and the type of school obtained statistical significance in the prediction of the variable (p < 0.05). In the Occupational Information Collection factor, the adjusted R² value indicates the prediction of 30.4% of the variance (F(10) = 5.811; p = 0 .000), in which investigative and artistic interests, as well as gender, were statistically significant in the prediction. In turn, the Search Factor for Practical Professional Information (R² = 25.9%; F(10) = 4.166, p = 0.000) was predicted by artistic and social investigative interests and by the type of school. Regarding Future Planning, the determination coefficient explained 32.4% of the variability (F(10) = 6.683; p = 0.000) with the investigative, artistic and entrepreneurial types and the variables age, gender and type of school contributing in a statistically significant way in predicting the variable. Finally, in relation to the General Score, the adjusted R² indicated the prediction of 26.6% of the variance (F(10) = 4.341; p = 0.000), and again the artistic typology was the only one that was significant in the prediction of beliefs of self-efficacy for the professional choice.

The aim of this study was to assess the relationships between self-efficacy beliefs and professional interests based on Holland’s hexagonal model, as well as potential differences in the functions of demographic variables and what types of professional interests and demographic variables are predictors of self-efficacy beliefs in high school students. Studies of this nature are important considering the lack of research in the Brazilian framework with both constructs despite their wide use in vocational guidance processes (Oliveira et al., 2014; Prisco et al., 2013). Regarding the differences in the means of the instruments due to demographic variables, the results indicated that women differed significantly from men with greater social interests while male participants obtained higher scores in Realistic, Entrepreneur and Conventional interests.

Such result corroborates what the literature has reported in relation to the functioning of the interests understood from Holland, in which, men traditionally score higher in Realistic and women in Social (Armstrong et al., 2011; Su, Rounds, & Armstrong, 2009). Initially, it is important to emphasize that Holland’s theory was developed in a historical context in which women had little access to work and were restricted to care professions (Social type). The author himself (Holland, 1975) takes as a limitation of his theory the fact that his research was carried out mainly with a male audience, a criticism endorsed by other authors (Fouth et al., 2014; Gottfredson, 2009).

It is important to emphasize that such differences in variability influence, at the same time that they are influenced, the relationship between men and women regarding their professional interests, causing gender disparities that often range from academic training to practices in certain work contexts. When it comes to social impacts, these differences, when not critically analyzed, can contribute to maintaining the discrepancy in the proportion of men and women in specific fields, such as a greater concentration of men in technology and exact areas (Paessler, 2015). Still, in order to have comprehensive assessments and adequately explain these imbalances, variations in the distributive characteristics of the group need to be, even if reasonably, homogeneous. (Voracek, Mohr, & Hagmann, 2013).

However, the current transformations of the 21st century (Duarte, 2015; Savickas, 2015) have reconfigured the work scenario, with the greater insertion of women in different fields. In this sense, one can think that currently with greater possibilities of professional choice, the pattern of interest should also have changed. Thus, it is suggested that studies should be conducted to assess the differential functioning of SDS items to check for potential biases related to gender in the instrument, since it is already known in the literature that the magnitude of these differences is null or small (Rottinghaus et al., 2003); this was also an aspect observed in the present study, which suggests that the differences are possibly related to the instrument’s bias and not to the valid variance (Gottsfredson, 2009).

Still in relation to professional interests, differences were observed depending on the school grade. The high school 1st year students obtained higher mean which were different from the other grades students’ mean in the Realistic, Artistic, Social and Conventional types. When comparing age groups, students aged 16 and below showed higher scores only in the Conventional type. In general, there is an expectation that over the years and with the growth of the instructional level, interests will become more stable and defined (Armstrong et al., 2011); however, such stability also depends on other aspects such as the life project clarity, maturity for a choice, culture and low levels of indecision. Thus, 3rd year students may not have presented higher scores in the types of interest due to the fact that they compose an audience that in fact deals with the career transition and potential professional choice, an aspect that can generate indecision and insecurity (Murgo et al., 2018). This result highlights the importance of career development interventions with graduating students in order to facilitate their decision-making process.

Regarding the differences in the levels of self-efficacy, the results indicated that private schools students differed from public schools students because of higher mean in all the dimensions of the EAE-EP. This result is similar to that found in the study by Noronha, Freitas, Piovezan, and Joly (2013) in which private schools students produced higher scores in the EAE-EP dimensions. When considering that self-efficacy beliefs come from sources that also involve the social and cultural aspects (i.e., source of vicarious learning) (Lent et al., 1994), the importance of the democratization of Professional and Career Guidance is reaffirmed, and should contemplate public schools’ students – traditionally excluded from the processes (Duarte, 2015) –, since these interventions can assist in the development of positive beliefs about themselves and the ability to establish relationships and explore the world of work for a possible choice (Ambiel & Noronha, 2014).

The correlations between the SDS and EAE-EP factors were mostly null or without statistical significance, with the highest statistically significant coefficients located between the Investigative type and the Professional Information Collection, Search for Occupational Information, Future Planning and General Score factors. Although the magnitude of the correlations was weak, the results are consistent with the description of this type of vocational personality. Holland (1975) has conceptualized that people with investigative interests are interested in activities that involve the exploration and manipulation of ideas and problem solving; these aspects can contribute to a higher elevation of the interests profile and to the development of positive beliefs in relation to the capacity to manage their own career. Thus, the findings of this study are pertinent when identifying this group as being the one which exhibits the greatest positive correlations with the beliefs of self-efficacy for the professional choice, since the maintenance of the belief and its increase is highly dependent on exploration and actual involvement with different tasks (Lent et al., 1994).

Finally, when analyzing the results of linear regression, in general, all the factors of self-efficacy assessed by EAE-EP were predicted negatively by Artistic interests and positively by the Investigative type. Thus, the results suggest different forms of career management according to the characteristics of each interest profile. Considering Holland’s arguments (1975), the artistic and investigative profiles differ in their interests, values, skills and self-concepts, which implies assuming that individuals will adopt different strategies to explore opportunities or make career decisions. In this sense, it is essential that interventions in Professional and Career Guidance be outlined based on the characteristics and needs of customers and not through a closed or common script to be applied to all those who seek the service.

Along the same line, it was observed that, besides the aforementioned typologies that were significant predictors of all factors, Self-Assessment, Search for Practical Professional Information and the General Score were positively predicted by social interests and the type of school. The Occupational Information Collection factor was negatively predicted by the gender variable and positively by the grade and type of school while Future Planning was positively predicted by entrepreneurial interests, grade and type of school and negatively by age. Such results suggest that the characteristics of the Social and Entrepreneurial type, such as the preference for socializing and interacting with other people (Holland, 1975) are important in the process of professional selection, as well as being a source of vicarious learning, an aspect that contributes for the development of positive self-efficacy beliefs (Bandura, 1997; Lent et al., 1994). In turn, demographic variables also contribute to the prediction of beliefs. In this sense, it is important that interventions include audiences from all high school grades and are not focused only on third year students in order that the professional choice be a process and not an act to be performed in a decontextualized way, under pressure.

In order to summarize the investigation findings, some considerations deserve to be highlighted. Therefore, it is necessary to consider the dynamics of career choice processes, which require that the Professional and Career Guidance area addresses several elements involved in decision making, such as life experience, skills, beliefs, interests and the contemporary occupational possibilities demands. The analyses that aimed to verify associations between self-efficacy and professional interests revealed that the correlations between the SDS and EAE-EP factors were mostly null or without statistical significance.

As for the limitations of the study, it is necessary to consider that the sample was obtained from a single region of Brazil and that high school third year students prevailed. It is also worth mentioning the differences in the total number of participants regarding gender (greater number of women) and the type of school (predominantly students from public schools), indicating a disparity in the distribution of participants. Conceptually, a greater representativeness of the sample would allow assessing whether the investigated constructs would correlate or not with other variables that were not addressed. The diversification of the sample regarding the regions and the balance in the number of participants in relation to the type of school, would favor the detailed analysis on the interference of demographic variables.

It is essential to draw attention to the need to expand interventional actions in Vocational and Career Guidance for young people and adolescents, especially in connection with public schools, given that students in this segment have less access to services of this nature and that in the present study, the scores on the self-efficacy scale of public school participants were lower when compared to those of students of private schools. In this regard, the present investigation aimed to contribute with the work of the counselors regarding the insertion of discussions in vocational guidance that help adolescents to understand the impact of interests and self-efficacy beliefs in the development of their professional projects, bringing more systematic data on such constructs.

Finally, the relevance of focusing on personal and occupational data is emphasized when thinking about a professional choice and career planning. In the spectrum of personal data, interests allow individuals to recognize their inclinations, to fulfill their desires and to realize their talents, while self-efficacy beliefs can enhance the recognition of positive capacities in relation to themselves and in relation to the occupations they can perform in the world of work.