research-article

Mixed methods and visual representation of data with CAQDAS: empirical study

Authors:

Sonia Verdugo-Castro,

Mª Cruz Sánchez-Gómez,

Alicia García-Holgado,

António Pedro CostaAuthors Info & Claims

TEEM'19: Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality

Pages 511 - 517

https://doi.org/10.1145/3362789.3362847

Published: 16 October 2019 Publication History

Abstract

Mixed Methods increasingly progress and help research to evolve, combining quantitative and qualitative perspectives and helping the researcher to interpret and represent the studied reality with a holistic approach. In order to exemplify the research process from the methodological complementarity, a contextualized study was carried out in the city of Valladolid (Spain) through a mixed approach with the objective of identifying the socio-labour actions implemented by third sector entities that work with people at risk and socially excluded, including women. For this purpose, semi-structured interviews were conducted with workers from the participating entities, and information was also collected in other formats such as roadmaps and reports from the centres. From the categorization, the codification of the speeches and the results of the quantitative scales we proceeded to the triangulation of the data, with the support of digital supports, CAQDAS. Nvivo 12 and webQDA were used. The node map, project map, coding matrices, dendrogram, word trees and word clouds were made. This made it possible to respond to the objective and the research question, concluding that each entity developed different degrees of socio-labour attention based on its degree of available resources. The study was an example of the representation of reality from the convergence of the quantitative perspective and the qualitative perspective.

References

[1]

Bazeley, P. 2010. Computer assisted integration of mixed methods data sources and analyses. Handbook of mixed methods in social and behavioral research. SAGE.

[2]

Bazeley, P. 2009. Editorial: Integrating data analyses in mixed method research. Journal of Mixed Methods Research. 3, 3 (2009), 203--207.

[3]

Bazeley, P. 2006. The contribution of computer software to integrating qualitative and quantitative data and analysis. Research in the Schools. 13, 1 (2006), 63--73.

[4]

Bowleg, L. et al. 2016. The Future of Mixed Methods: A Five Year Projection to 2020.

[5]

Bryman, A. 2006. Integrating quantitative and qualitative research: How is it done? Qualitative Research. 6, (2006), 97--113.

[6]

Carmichael, P. 2008. Secondary qualitative analysis using internet resources. The SAGE Handbook of Online Research Methods. Sage.

[7]

Chen, C. et al. 2007. Handbook of data visualization. Springer.

[8]

Cisneros-Puebla, C. and Fielding, N.G. 2009. CAQDAS-GIS convergence: Towards a new integrated mixed method research practice? Journal of Mixed Methods Research. 3, 4 (2009), 349--370.

[9]

Craig, W.J. et al. 2002. Community participation and geographic information systems. Taylor and Francis.

[10]

Creswell, J.M. 2009. Research design: Qualitative, quantitative and mixed approaches. SAGE.

[11]

Creswell, J.W. et al. 2011. Best practices for mixed methods research in the health sciences. National Institutes of Health.

[12]

Creswell, J.W. and Plano Clark, V.L. 2007. Designing and conducting mixed methods research. Sage.

[13]

Creswell, J.W. and Plano Clark, V.L. 2011. Designing and conducting mixed methods research. SAGE.

[14]

Denzin, N. 1970. Strategies of multiple triangulation. The research act in sociology: A theoretical introduction to sociological method. 297, (1970), 313.

[15]

Fielding, J. et al. 2013. Opening up open-ended survey data using qualitative software. Quality & Quantity. 47, 6 (2013), 3261--3276.

[16]

Fielding, J.L. and Fielding, N.F. 2013. Integrating information from multiple methods into the analysis of perceived risk of crime: The role of georeferenced field data and mobile methods. Journal of Criminology,. (2013).

[17]

Franzosi, R. et al. 2013. Quantitative narrative analysis software options compared: PC-ACE and CAQDAS (ATLAS.ti, MAXqda, and NVivo). Quality & Quantity. 47, 6 (2013), 3219--3247.

[18]

Grimmer, J. and Stewart, B.M. 2013. Text as data: The promise and pitfalls of automatic content analysis methods for political texts. Political Analysis. 21, 3 (2013), 267--297.

[19]

Hernández- Sampieri, R. et al. 2014. Metodología de la investigación. McGraw-Hill.

[20]

Hesse-Biber, S.N. 2010. Feminist approaches to mixed methods research: Linking theory and practices. SAGE handbook of mixed methods in social & behavioral research. SAGE. 169--192.

[21]

Hogenraad, R. et al. 2003. Force and influence in content analysis: The production of new social knowledge. Quality and Quantity. 37, 3 (2003), 221--238.

[22]

Ivankova, N. and Kawamura, Y. 2010. Emerging trends in the utilization of integration designs in the social, behavioural and health sciences. Handbook of mixed methods in social and behavioural research. Sage. 581--611.

[23]

Johnson, R.B. et al. 2007. Toward a definition of mixed methods research. Journal of Mixed Methods Research. 1, 2 (2007), 112--133.

[24]

Jung, J.K. 2009. Computer-aided qualitative GIS: A software-level integration of qualitative research and GIS. Qualitative GIS: a new approach. Sage. 115--135.

[25]

Jung, J.K. and Elwood, S. 2010. Extending the qualitative capabilities of GIS. Transactions in GIS. 14, 1 (2010), 63--87.

[26]

Knigge, L. and Cope, M. 2006. Grounded visualization: Integrating the analysis of qualitative and quantitative data through grounded theory and visualization. Environmental Planning A. 38, (2006), 2021--2037.

[27]

Lee, S. et al. 2010. An empirical comparison of four text mining methods. Journal of Computer Information Systems. 51, 1 (2010), 1--10.

[28]

Llinares-Insa, L.I. et al. 2018. Women's job search competence: A question of motivation, behavior, or gender. Frontiers in Psychology. 9, FEB (2018).

[29]

Maxwell, J. 2010. Using numbers in qualitative research. Qualitative Inquiry. 16, 6 (2010), 475--482.

[30]

McCandless, D. 2012. Information is beautiful. Collins.

[31]

Mertens, D. 2015. Mixed methods and wicked problems. Journal of Mixed Methods Research. 9, 1 (2015), 3--6.

[32]

Mertens, D. 2009. Transformative research and evaluation. Guilford Press.

[33]

Mertens, D. and Wilson, A.T. 2012. Program evaluation theory and practice. Guilford Press.

[34]

Mertens, D.M. et al. 2016. The future of mixed methods: A five year projection to 2020. Mixed methods international research association. Journal of Mixed Methods Research. 11, 1 (2016), 11--18.

[35]

Nightingale, A. 2003. A feminist in the forest: Situated knowledges and mixing methods in natural resource management. ACME: An International E-Journal for Critical Geographers. 2, 1 (2003), 77--90.

[36]

OECD Employment Outlook 2018 | READ online: 2018. https://read.oecd-ilibrary.org/employment/oecd-employment-outlook-2018_empl_outlook-2018-en. Accessed: 2019-01-10.

[37]

Popping, R. 2015. Analyzing open-ended questions by means of text analysis procedures. Bulletin de Methodologie Sociologique. 115, (2015), 79--88.

[38]

Popping, R. and Roberts, C.W. 2009. Coding issues in semantic text analysis. Field Methods. 21, 3 (2009), 244--264.

[39]

Sánchez-Gómez, M.C. et al. 2019. Evaluation of Computer Assisted Qualitative Data Analysis Software (CAQDAS) Applied to Research. Learning Technology for Education Challenges (2019), 474--485.

[40]

Silver, C. and Lewins, A. 2014. Using Software in Qualitative Research: A Step-by-Step Guide. Sage.

[41]

Souza, F.N. et al. 2011. Análise de Dados Qualitativos Suportada pelo Software WebQDA. Atas da VII Conferência Internacional de TIC na Educação: Perspetivas de Inovação (CHALLANGES2011). (2011), 49--56.

[42]

Teddlie, C. and Tashakkori, A. 2009. Foundations of mixed methods research. Integrating quantitative and qualitative approaches in the social and behavioral sciences. Thousand Oaks.

[43]

Tufte, E. 2006. Beautiful evidence. Graphics Press.

Digital Library

[44]

Tufte, E. 2001. Visual Display of Quantitative Information. Graphics Press.

[45]

Unwin, A. et al. 2006. Graphics of Large Datasets: Visualizing a Million. Springer-Verlag.

[46]

Valles, M.S. et al. 2011. Qualitative Archives and Biographical Research Methods. An Introduction to the FQS Special Issue. Forum Qualitative Sozialforschung / Forum: Qualitative Social Research. 12, 3 (2011).

[47]

Wilkinson, L. 1999. The Grammar of Graphics. Springer-Verlag.

Digital Library

Cited By

Alves GArnedo-Moreno Jda Silva JConde MCosta ADominguez AGarcía-Holgado AGarcía-Peñalvo FGonzález-González CJuanes-Méndez JLima NMarcos-Pablos SMarques AMartín-Lucas JMolina-Carmona RMuñoz-Rodríguez JPeixoto APessoa TPinto-Llorente AJorge JPozzo MSánchez-Gómez MViegas CVillagrá-Arnedo C(2023)Trends on Computational Thinking, Engineering Education, Technology in Medicine, Qualitative and Mixed Methods, Diversity in STEM, Lab-Based Education, Technology and Education, Gamification and Games for Learning and Smart Learning at TEEM 2022Proceedings TEEM 2022: Tenth International Conference on Technological Ecosystems for Enhancing Multiculturality10.1007/978-981-99-0942-1_1(1-21)Online publication date: 4-May-2023
https://doi.org/10.1007/978-981-99-0942-1_1
Verdugo-Castro SGarcía-Silva EGarcía-Holgado AGarcía-Peñalvo F(2023)Strengthening Women’s Footprints Through Digital Tools: Focus Groups in SpainProceedings of TEEM 202310.1007/978-981-97-1814-6_63(642-652)Online publication date: 25-Oct-2023
https://dl.acm.org/doi/10.1007/978-981-97-1814-6_63
Verdugo-Castro SGarcía-Holgado ASánchez-Gómez MGarcía-Peñalvo F(2021)Multimedia Analysis of Spanish Female Role Models in Science, Technology, Engineering and MathematicsSustainability10.3390/su13221261213:22(12612)Online publication date: 15-Nov-2021
https://doi.org/10.3390/su132212612
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Index Terms

Mixed methods and visual representation of data with CAQDAS: empirical study
1. General and reference
  1. Cross-computing tools and techniques
    1. Design
    2. Empirical studies

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cover image ACM Other conferences

TEEM'19: Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality

October 2019

1085 pages

ISBN:9781450371919

DOI:10.1145/3362789

Editors:
Miguel Ángel Conde González
Universidad de León
,
Francisco Jesús Rodríguez Sedano
Universidad de León
,
Camino Fernández Llamas
Universidad de León
,
Francisco José García-Peñalvo
Universidad de Salamanca

Copyright © 2019 ACM.

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University of Salamanca: University of Salamanca

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New York, NY, United States

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Published: 16 October 2019

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TEEM'19

TEEM'19: Technological Ecosystems for Enhancing Multiculturality

October 16 - 18, 2019

León, Spain

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Cited By

Alves GArnedo-Moreno Jda Silva JConde MCosta ADominguez AGarcía-Holgado AGarcía-Peñalvo FGonzález-González CJuanes-Méndez JLima NMarcos-Pablos SMarques AMartín-Lucas JMolina-Carmona RMuñoz-Rodríguez JPeixoto APessoa TPinto-Llorente AJorge JPozzo MSánchez-Gómez MViegas CVillagrá-Arnedo C(2023)Trends on Computational Thinking, Engineering Education, Technology in Medicine, Qualitative and Mixed Methods, Diversity in STEM, Lab-Based Education, Technology and Education, Gamification and Games for Learning and Smart Learning at TEEM 2022Proceedings TEEM 2022: Tenth International Conference on Technological Ecosystems for Enhancing Multiculturality10.1007/978-981-99-0942-1_1(1-21)Online publication date: 4-May-2023
https://doi.org/10.1007/978-981-99-0942-1_1
Verdugo-Castro SGarcía-Silva EGarcía-Holgado AGarcía-Peñalvo F(2023)Strengthening Women’s Footprints Through Digital Tools: Focus Groups in SpainProceedings of TEEM 202310.1007/978-981-97-1814-6_63(642-652)Online publication date: 25-Oct-2023
https://dl.acm.org/doi/10.1007/978-981-97-1814-6_63
Verdugo-Castro SGarcía-Holgado ASánchez-Gómez MGarcía-Peñalvo F(2021)Multimedia Analysis of Spanish Female Role Models in Science, Technology, Engineering and MathematicsSustainability10.3390/su13221261213:22(12612)Online publication date: 15-Nov-2021
https://doi.org/10.3390/su132212612
Chang TDeJonckheere MVydiswaran VLi JBuis LGuetterman T(2021)Accelerating Mixed Methods Research With Natural Language Processing of Big Text DataJournal of Mixed Methods Research10.1177/1558689821102119615:3(398-412)Online publication date: 16-Jun-2021
https://doi.org/10.1177/15586898211021196
Pinto-Llorente ASánchez-Gómez MCosta A(2019)Reflections on Qualitative and Mixed Methods ResearchesProceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality10.1145/3362789.3362941(508-510)Online publication date: 16-Oct-2019
https://dl.acm.org/doi/10.1145/3362789.3362941

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