Objetivos:
Objetivo geral:
Fornecer uma introdução à Análise de Conteúdo, esclarecendo sua origem e seus pressupostos, abordando seus principais procedimentos e exercitando suas possíveis articulações com teorias sociais contemporâneas.
Objetivos específicos:
1) Abordar, de forma introdutória e breve, elementos histórico-conceituais da Análise de Conteúdo, esclarecendo seus pressupostos e seu foco;
2) Explorar e discutir técnicas de categorização de dados, com a apresentação de exemplos e de exercícios;
3) Apresentar estratégias para a apresentação e descrição da Análise de Conteúdo;
4) Discutir a extensão dos resultados da Análise de Conteúdo, segundo a teoria explicativa utilizada pela/o pesquisadora/or.
Público-alvo:
Discentes de graduação e pós-graduação (especialização, mestrado e doutorado) em Psicologia e áreas afins.
Pré-requisitos:
Estar matriculado/a em curso de graduação pós-graduação(especialização, mestrado ou doutorado) em Psicologia e áreas afins.
Ministrantes:
Adriano R. A. do Nascimento: possui mestrado e doutorado em Psicologia pela Universidade Federal do Espírito Santo (2000 e 2004). É Professor Titular do Departamento de Psicologia da Universidade Federal de Minas Gerais e professor-orientador do Programa de Pós-Graduação em Psicologia/FAFICH/UFMG.
E-mail para envio de dúvidas acadêmicas: nascimentopsi72@gmail.com
Investimento:
R$ 200,00
O comprovante de pagamento de inscrição, bem como o comprovante de aluno de graduação ou de profissional da saúde deve ser enviado para o e-mail: nascimentopsi72@gmail.com.
Formas de pagamento:
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)
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