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Mixing quantitative and qualitative content analysis: triangulation at work

Mixing quantitative and qualitative content analysis: triangulation at work The paper discusses an original path model for triangulating the results of three types of content analysis: (i) the analysis of the co-occurrence of words; (ii) the substitution model of quantitative content analysis and (iii) qualitative coding. The model refers to the “within method” as well as the “between methods” of triangulation. It shows how this model helps assess the reliability and validity of content analysis. In the former case, the text is used as a unit of analysis; in the latter—the variable (theme, category or qualitative code). The model is tested on two sets of transcripts of semi-structured (N = 64) and unstructured (N = 43) interviews carried out independently by two research teams. Outcomes of the test show consistent patterns in both cases. Some directions for further explorations are discussed, including latent qualitative analysis. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Mixing quantitative and qualitative content analysis: triangulation at work

Quality & Quantity , Volume 45 (4) – Dec 4, 2010

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References (21)

Publisher
Springer Journals
Copyright
Copyright © 2010 by Springer Science+Business Media B.V.
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
DOI
10.1007/s11135-010-9399-4
Publisher site
See Article on Publisher Site

Abstract

The paper discusses an original path model for triangulating the results of three types of content analysis: (i) the analysis of the co-occurrence of words; (ii) the substitution model of quantitative content analysis and (iii) qualitative coding. The model refers to the “within method” as well as the “between methods” of triangulation. It shows how this model helps assess the reliability and validity of content analysis. In the former case, the text is used as a unit of analysis; in the latter—the variable (theme, category or qualitative code). The model is tested on two sets of transcripts of semi-structured (N = 64) and unstructured (N = 43) interviews carried out independently by two research teams. Outcomes of the test show consistent patterns in both cases. Some directions for further explorations are discussed, including latent qualitative analysis.

Journal

Quality & QuantitySpringer Journals

Published: Dec 4, 2010

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