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International Symposium on Qualitative Research

ISQR 2017: Computer Supported Qualitative Research pp 341–357Cite as

Convergence Between Quantitative and Qualitative Methodological Orientations: Mixed Models

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

Abstract

This chapter deals with the process of convergence that has developed between quantitative and qualitative methodological orientations over recent decades in the context of the social sciences. It brings together some of the arguments that sum up the opposing positions in this debate, from the stance of discrepancy and its attitude of subordinate methodological difference, to the stance of harmony, which emphasizes the value of each methodology and respects their respective contributions, and then on to a current position based on duality and the potential of convergence, compatibility and integration with regard to so-called mixed models or designs.

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Author information

Authors and Affiliations

  1. Universidad de Salamanca (España), Salamanca, Spain

    María Cruz Sánchez-Gómez & Antonio Victor Martín García

Authors
  1. María Cruz Sánchez-Gómez
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  2. Antonio Victor Martín García
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Correspondence to María Cruz Sánchez-Gómez .

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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Sánchez-Gómez, M.C., García, A.V.M. (2018). Convergence Between Quantitative and Qualitative Methodological Orientations: Mixed Models. 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_29

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  • DOI: https://doi.org/10.1007/978-3-319-61121-1_29

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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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