E-book Content Analysis Supported by Software
Ebook Content Analysis Supported by Software

E-book Content Analysis Supported by Software

This manual intends to offer itself as an invitation to the reader, so that, before rushing into the arduous research tasks, they make a careful study of the instruments and tools that not only can...

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Description

This manual intends to offer itself as an invitation to the reader, so that, before rushing into the arduous research tasks, they make a careful study of the instruments and tools that not only can facilitate the process, but can make it more fruitful, through the questioning and the views that only they allow. Therefore, the reader will find here, albeit in a brief summary, a little of the “state of the art” regarding the software currently available on the market, intended for data analysis. This is an area of accelerated evolution, which can make us “outdated” from one moment to the next, but we believe that in the investigative process, it is difficult to escape the need to make these “cuts” in time; life always runs faster, but it is necessary to “stop” to understand it and, only then, to decide the course to follow.

Additional information

Authors

,

ISBN/ISSN

978-972-8914-91-2

Conteúdo

Introdução

1. Historial e Definições de Análise de Conteúdo
1.1. História da técnica de Análise de Conteúdo
1.2. O conceito de Análise de Conteúdo
2. Pacotes de Software: diversidade e potencialidades
2.1. Paradigmas “Analíticos” utilizando Dados Qualitativos
2.2. Pacotes de Software disponíveis para o Investigador
2.3. Desafios emergentes
2.3.1. Transcrição Automática e Integrada de Dados Multimédia
2.3.2. Otimização dos processos de colaboração online
2.3.3. Processamento Automático e Integrado de Códigos
2.4 Vantagens e Desvantagens do uso de CAQDAS
3. Um Exemplo Prático Baseado no webQDA
3.1. Definição do problema, objetivos de trabalho e fundamentação teórica
3.2. Organização do Corpus de Dados
3.3. Leitura dos Dados
3.3.1. Pesquisa de Palavras mais Frequentes
3.3.2. Pesquisa de Texto
3.4. Categorização e Codifcação
3.4.1. Processo de Codifcação
3.4.2. Codificação de Dados Visuais
3.5. Formulação de Questões
3.6. Matrizes de Análise
3.7. Apresentação dos Resultados
4. Considerações Finais

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