abstract: This study investigated whether research by researchers affiliated with a religious academic institution would be seen as of less scientific merit than research done by researchers affiliated with a nonreligious academic institution. Such a bias may exist given the different value systems underlying religion and science, the widespread perception of a conflict between religion and science, and research on differences in cognitive styles and stereotypes about religious versus nonreligious people. In this study, U.S. participants recruited from Amazon Mechanical Turk completed an online survey, which included an abstract of an article describing scientific research with authors’ names and academic institutions, and questions on perceived scientific merit, religiosity, spirituality, religion as Quest, and perceived conflict between religion and science. There was a significant difference in the perceived merit of the researchers, with the group believing the researchers were affiliated with a religious academic institution rating the research as lower in scientific merit than the group believing the researchers were affiliated with a nonreligious academic institution. The perceived level of conflict between religion and science was found to moderate the relationship, such that higher levels of perceived conflict between religion and science showed a greater difference in scientific merit between groups. / Dissertation/Thesis / Masters Thesis Psychology 2018

Submitted by Clebson Anjos (clebson.leandro54@gmail.com) on 2016-02-11T20:45:07Z No. of bitstreams: 1 arquivototal.pdf: 2311643 bytes, checksum: 43ddbb48531f37b68376b2f7a5285c70 (MD5) / Made available in DSpace on 2016-02-11T20:45:07Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 2311643 bytes, checksum: 43ddbb48531f37b68376b2f7a5285c70 (MD5) Previous issue date: 2014-07-31 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / Social network analysis techniques can be used to extract knowledge from the network by analyzing the interactions between its members. In this work we intend to apply echniques of social network analysis on networks formed through scientific collaborations among researchers. Our objective with this study is to analyze if these collaboration connections may have any influence in the evaluation of scientific merit. We will focus our work on two specific scenarios. The first scenario targets the evaluation of individual merit for granting scholarships to researcher and is conducted by CNPQ, the Brazilian Research Council. The second scenario focus on the evaluation of graduate programs in the country and is conducted by CAPES, the governmental body entitled to evaluate and coordinate the graduate education program in Brazil. On both scenarios we will restrict our analysis to the Computer Science area. / Técnicas de análise de redes sociais podem ser utilizadas para extrair conhecimento da rede por meio da análise das interações entre seus membros. Neste trabalho pretendemos aplicar técnicas de análise de redes sociais a redes formadas pela colaborações científicas entres pesquisadores. Pretendemos com isso avaliar se as relações de colaboração entre pesquisadores possuem alguma influência na avaliação do mérito científico. Utilizaremos como estudos de caso o processo de concessão das chamadas bolsas de produtividade em pesquisa do CNPQ e a avaliação dos programas de pós-graduação pela CAPES, ambos focados na área de Ciência da Computação.