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Integrating quantitative and qualitative data in mixed methods research: An illustration.

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Title: Integrating quantitative and qualitative data in mixed methods research: An illustration.
Alternate Title: Intégration de données quantitatives et qualitatives dans la recherche par méthodes mixtes : Un exemple.
Authors: Hands, Africa S.1
Source: Canadian Journal of Information & Library Sciences. 2022, Vol. 45 Issue 1, p1-20. 20p.
Subject Terms: *Mixed methods research
Abstract (English): Employing a mixed methods approach to research is meant to deliver a comprehensive examination of the phenomenon under study. An integral step in mixed methods research is integrating qualitative and quantitative data. However, published reports rarely detail the process of mixing data from both approaches. Presented here is an illustration of integrating qualitative and quantitative data sets using a convergence table. A review of mixed methods research in LIS is presented, and a reflection on the challenges of integration is shared. As the mixed methods approach increases in LIS research, the example offered here aims to make integration more transparent. [ABSTRACT FROM AUTHOR]
Abstract (French): Le recours à l’approche par méthodes mixtes en recherche vise à fournir un examen complet d’un phénomène étudié. L’intégration de données qualitatives et quantitatives fait partie intégrante de la recherche par méthodes mixtes. Cependant, les rapports publiés ne détaillent que rarement le processus unissant des données issues des deux approches. Un exemple d’intégration de jeux de données qualitatives et quantitatives à l’aide d’un tableau de convergence est présenté ici. Une revue de la recherche par méthodes mixtes dans le domaine de la bibliothéconomie et des sciences de l’information est présentée, et une réflexion des défis liés à l’intégration est partagée. L’approche par méthodes mixtes en recherche étant de plus en plus utilisée en bibliothéconomie et sciences de l’information, l’exemple proposé vise à rendre le processus d’intégration de données plus transparent. [ABSTRACT FROM AUTHOR]
Copyright of Canadian Journal of Information & Library Sciences is the property of Canadian Association for Information Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Integrating quantitative and qualitative data in mixed methods research: An illustration.
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  Data: Intégration de données quantitatives et qualitatives dans la recherche par méthodes mixtes : Un exemple.
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  Data: <searchLink fieldCode="JN" term="%22Canadian+Journal+of+Information+%26+Library+Sciences%22">Canadian Journal of Information & Library Sciences</searchLink>. 2022, Vol. 45 Issue 1, p1-20. 20p.
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  Data: Employing a mixed methods approach to research is meant to deliver a comprehensive examination of the phenomenon under study. An integral step in mixed methods research is integrating qualitative and quantitative data. However, published reports rarely detail the process of mixing data from both approaches. Presented here is an illustration of integrating qualitative and quantitative data sets using a convergence table. A review of mixed methods research in LIS is presented, and a reflection on the challenges of integration is shared. As the mixed methods approach increases in LIS research, the example offered here aims to make integration more transparent. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (French)
  Group: Ab
  Data: Le recours à l’approche par méthodes mixtes en recherche vise à fournir un examen complet d’un phénomène étudié. L’intégration de données qualitatives et quantitatives fait partie intégrante de la recherche par méthodes mixtes. Cependant, les rapports publiés ne détaillent que rarement le processus unissant des données issues des deux approches. Un exemple d’intégration de jeux de données qualitatives et quantitatives à l’aide d’un tableau de convergence est présenté ici. Une revue de la recherche par méthodes mixtes dans le domaine de la bibliothéconomie et des sciences de l’information est présentée, et une réflexion des défis liés à l’intégration est partagée. L’approche par méthodes mixtes en recherche étant de plus en plus utilisée en bibliothéconomie et sciences de l’information, l’exemple proposé vise à rendre le processus d’intégration de données plus transparent. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Canadian Journal of Information & Library Sciences is the property of Canadian Association for Information Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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