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International Symposium on Qualitative Research

ISQR 2017: Computer Supported Qualitative Research pp 291–305Cite as

Insights and Perspectives About Textual with Visual Data Analysis: The Use of Photos as an Example

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 621))

Abstract

Visual data analysis have become a noteworthy approach in qualitative research in the years. This paper presents a content analysis based on a study carried out in tourism field that used visual elements specifically photos, combined with verbal data. The goal is to demonstrate that, always considering the research goals, a more integrated approach to data production and analysis might be a suitable option. The results intend to provide evidence that visual data, in this case photos about lakes, might add value to the findings extracted from textual analysis (description of lakes) and reveal, in some cases, new insights about the object of research. In addition, the procedure of using webQDA, a Computer-Aided Text Analysis (and pictorial) is exposed and explained.

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Author information

Authors and Affiliations

  1. Business Department, Polytechnic Institute of Beja, Beja, Portugal

    Ana Isabel Rodrigues

Authors
  1. Ana Isabel Rodrigues
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Correspondence to Ana Isabel Rodrigues .

Editor information

Editors and Affiliations

  1. Education and Psychology Department, University of Aveiro, Aveiro, Portugal

    António Pedro Costa

  2. Information Systems Department, University of Minho, Guimarães, Portugal

    Luís Paulo Reis

  3. Education and Psychology Department, University of Aveiro, Aveiro, Portugal

    Francislê Neri de Souza

  4. Education and Psychology Department, University of Aveiro, Aveiro, Portugal

    António Moreira

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Rodrigues, A.I. (2018). Insights and Perspectives About Textual with Visual Data Analysis: The Use of Photos as an Example. In: Costa, A., Reis, L., Souza, F., Moreira, A. (eds) Computer Supported Qualitative Research. ISQR 2017. Advances in Intelligent Systems and Computing, vol 621. Springer, Cham. https://doi.org/10.1007/978-3-319-61121-1_25

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  • DOI: https://doi.org/10.1007/978-3-319-61121-1_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61120-4

  • Online ISBN: 978-3-319-61121-1

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