{"id":{"repo_id":"andrews-thes","oai_identifier":"oai:digitalcommons.andrews.edu:dissertations-1197"},"canonical_url":"https://search.dev.ndltd.org/etd/andrews-thes/oai:digitalcommons.andrews.edu:dissertations-1197","repository":{"repo_id":"andrews-thes","name":"Andrews University","base_url":"https://digitalcommons.andrews.edu/do/oai/"},"display":{"title":"Socioeconomic Characteristics as Factors of Academic Success on the Exame Nacional de Cursos Among Undergraduate Students of Selected Study Programs in Brazil","abstract":"<p>This study investigated the possible relationships among socioeconomic characteristics as factors influencing the success levels of Brazilian students. Data were provided by the 2002 <em>Exame Nacional de Cursos</em> [National Examination of Study Programs], or <em>ENC</em> , in five <em>cursos</em> . For this study, the following programs, representing three levels of prestige, were selected: low (Modern Letters and History), middle (Law), and high (Medicine and Dentistry). The purpose was to gain a deeper understanding of the issues associated with relationships among various socioeconomic characteristics, as well as to gain a more global understanding of the implications of the socioeconomic process as a whole. The following variables were selected: gender, socioeconomic status (family income), parents' education, and race/color.</p> <p><em>Method</em>. I used the Statistical Package for the Social Sciences, or SPSS, with an emphasis in the <em>AnswerTree</em> module. Probability-concepts were also used, along with bi-dimensional graphic representation and analysis. Students were designated as belonging to one of two groups: (a) the high score group, or students who obtained a general score above the 75th percentile on the <em>ENC</em> , and (b) the low score group, or students who obtained a general score below the 25th percentile on the <em>ENC</em>.</p> <p><em>Results</em>. This study demonstrated that both the <em>AnswerTree</em> test and the Probability calculations point to similar conclusions: (a) Race is not a significant variable to define either low or high scores, with the one exception being for Mulattos in Medicine; (b) gender, family income, and parents' education are significant for both low and high scores for low prestige <em>cursos</em> ; (c) family income and parents' education are significantly associated with middle prestige careers; and (d) none of the independent variables are related to low or high scores for high-prestige careers.</p> <p><em>Conclusion</em>. More privileged students tend to get higher scores in low-prestige <em>cursos</em>. Less privileged students tend to get lower scores in low-prestige <em>cursos</em>. Public high-school students tend to choose low-prestige <em>cursos</em> and students from private high-schools tend to choose high-prestige <em>cursos</em>. The selection process excludes those who are not as well prepared for the entrance exam (<em>vestibular</em>) and those from lower socioeconomic levels are not as well prepared.</p>","abstract_html":"&lt;p&gt;This study investigated the possible relationships among socioeconomic characteristics as factors influencing the success levels of Brazilian students. Data were provided by the 2002 &lt;em&gt;Exame Nacional de Cursos&lt;/em&gt; [National Examination of Study Programs], or &lt;em&gt;ENC&lt;/em&gt; , in five &lt;em&gt;cursos&lt;/em&gt; . For this study, the following programs, representing three levels of prestige, were selected: low (Modern Letters and History), middle (Law), and high (Medicine and Dentistry). The purpose was to gain a deeper understanding of the issues associated with relationships among various socioeconomic characteristics, as well as to gain a more global understanding of the implications of the socioeconomic process as a whole. The following variables were selected: gender, socioeconomic status (family income), parents&#x27; education, and race/color.&lt;/p&gt; &lt;p&gt;&lt;em&gt;Method&lt;/em&gt;. I used the Statistical Package for the Social Sciences, or SPSS, with an emphasis in the &lt;em&gt;AnswerTree&lt;/em&gt; module. Probability-concepts were also used, along with bi-dimensional graphic representation and analysis. Students were designated as belonging to one of two groups: (a) the high score group, or students who obtained a general score above the 75th percentile on the &lt;em&gt;ENC&lt;/em&gt; , and (b) the low score group, or students who obtained a general score below the 25th percentile on the &lt;em&gt;ENC&lt;/em&gt;.&lt;/p&gt; &lt;p&gt;&lt;em&gt;Results&lt;/em&gt;. This study demonstrated that both the &lt;em&gt;AnswerTree&lt;/em&gt; test and the Probability calculations point to similar conclusions: (a) Race is not a significant variable to define either low or high scores, with the one exception being for Mulattos in Medicine; (b) gender, family income, and parents&#x27; education are significant for both low and high scores for low prestige &lt;em&gt;cursos&lt;/em&gt; ; (c) family income and parents&#x27; education are significantly associated with middle prestige careers; and (d) none of the independent variables are related to low or high scores for high-prestige careers.&lt;/p&gt; &lt;p&gt;&lt;em&gt;Conclusion&lt;/em&gt;. More privileged students tend to get higher scores in low-prestige &lt;em&gt;cursos&lt;/em&gt;. Less privileged students tend to get lower scores in low-prestige &lt;em&gt;cursos&lt;/em&gt;. Public high-school students tend to choose low-prestige &lt;em&gt;cursos&lt;/em&gt; and students from private high-schools tend to choose high-prestige &lt;em&gt;cursos&lt;/em&gt;. The selection process excludes those who are not as well prepared for the entrance exam (&lt;em&gt;vestibular&lt;/em&gt;) and those from lower socioeconomic levels are not as well prepared.&lt;/p&gt;","abstract_has_math":false,"creators":["Arrais de Matos, Josmar Sionti"],"institution":null,"degree_name":"Doctor of Philosophy","degree_level":"Dissertation","degree_discipline":"Educational Leadership PhD","degree_department":null,"school":null,"contributors":["James A. Tucker","Hinsdale Bernard","Eliseu N. Menegusso"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2006,"date_issued":"2006-01-01T08:00:00Z","date_published":"2006-01-01T08:00:00Z","updated_at":"2026-07-24T00:52:41Z","subjects":["Education","Education Economics","Higher Education"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.andrews.edu/dissertations/198","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["James A. Tucker","Hinsdale Bernard","Eliseu N. 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Data were provided by the 2002 <em>Exame Nacional de Cursos</em> [National Examination of Study Programs], or <em>ENC</em> , in five <em>cursos</em> . For this study, the following programs, representing three levels of prestige, were selected: low (Modern Letters and History), middle (Law), and high (Medicine and Dentistry). The purpose was to gain a deeper understanding of the issues associated with relationships among various socioeconomic characteristics, as well as to gain a more global understanding of the implications of the socioeconomic process as a whole. The following variables were selected: gender, socioeconomic status (family income), parents' education, and race/color.</p> <p><em>Method</em>. I used the Statistical Package for the Social Sciences, or SPSS, with an emphasis in the <em>AnswerTree</em> module. Probability-concepts were also used, along with bi-dimensional graphic representation and analysis. Students were designated as belonging to one of two groups: (a) the high score group, or students who obtained a general score above the 75th percentile on the <em>ENC</em> , and (b) the low score group, or students who obtained a general score below the 25th percentile on the <em>ENC</em>.</p> <p><em>Results</em>. This study demonstrated that both the <em>AnswerTree</em> test and the Probability calculations point to similar conclusions: (a) Race is not a significant variable to define either low or high scores, with the one exception being for Mulattos in Medicine; (b) gender, family income, and parents' education are significant for both low and high scores for low prestige <em>cursos</em> ; (c) family income and parents' education are significantly associated with middle prestige careers; and (d) none of the independent variables are related to low or high scores for high-prestige careers.</p> <p><em>Conclusion</em>. More privileged students tend to get higher scores in low-prestige <em>cursos</em>. Less privileged students tend to get lower scores in low-prestige <em>cursos</em>. Public high-school students tend to choose low-prestige <em>cursos</em> and students from private high-schools tend to choose high-prestige <em>cursos</em>. The selection process excludes those who are not as well prepared for the entrance exam (<em>vestibular</em>) and those from lower socioeconomic levels are not as well prepared.</p>"]},{"key":"dc:title","label":"Title","values":["Socioeconomic Characteristics as Factors of Academic Success on the Exame Nacional de Cursos Among Undergraduate Students of Selected Study Programs in Brazil"]}]}],"canonical_facts":{"dc:contributor":["James A. Tucker","Hinsdale Bernard","Eliseu N. Menegusso"],"dc:creator":["Arrais de Matos, Josmar Sionti"],"dc:description.abstract":["<p>This study investigated the possible relationships among socioeconomic characteristics as factors influencing the success levels of Brazilian students. Data were provided by the 2002 <em>Exame Nacional de Cursos</em> [National Examination of Study Programs], or <em>ENC</em> , in five <em>cursos</em> . For this study, the following programs, representing three levels of prestige, were selected: low (Modern Letters and History), middle (Law), and high (Medicine and Dentistry). The purpose was to gain a deeper understanding of the issues associated with relationships among various socioeconomic characteristics, as well as to gain a more global understanding of the implications of the socioeconomic process as a whole. The following variables were selected: gender, socioeconomic status (family income), parents' education, and race/color.</p> <p><em>Method</em>. I used the Statistical Package for the Social Sciences, or SPSS, with an emphasis in the <em>AnswerTree</em> module. Probability-concepts were also used, along with bi-dimensional graphic representation and analysis. Students were designated as belonging to one of two groups: (a) the high score group, or students who obtained a general score above the 75th percentile on the <em>ENC</em> , and (b) the low score group, or students who obtained a general score below the 25th percentile on the <em>ENC</em>.</p> <p><em>Results</em>. This study demonstrated that both the <em>AnswerTree</em> test and the Probability calculations point to similar conclusions: (a) Race is not a significant variable to define either low or high scores, with the one exception being for Mulattos in Medicine; (b) gender, family income, and parents' education are significant for both low and high scores for low prestige <em>cursos</em> ; (c) family income and parents' education are significantly associated with middle prestige careers; and (d) none of the independent variables are related to low or high scores for high-prestige careers.</p> <p><em>Conclusion</em>. More privileged students tend to get higher scores in low-prestige <em>cursos</em>. Less privileged students tend to get lower scores in low-prestige <em>cursos</em>. Public high-school students tend to choose low-prestige <em>cursos</em> and students from private high-schools tend to choose high-prestige <em>cursos</em>. The selection process excludes those who are not as well prepared for the entrance exam (<em>vestibular</em>) and those from lower socioeconomic levels are not as well prepared.</p>"],"dc:identifier":["https://digitalcommons.andrews.edu/dissertations/198"],"dc:subject":["Education","Education Economics","Higher Education"],"dc:title":["Socioeconomic Characteristics as Factors of Academic Success on the Exame Nacional de Cursos Among Undergraduate Students of Selected Study Programs in Brazil"],"thesis:degree_discipline":["Educational Leadership PhD"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Doctor of Philosophy"]},"updated_at":"2026-07-24T00:52:41Z"}