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Thematic Proximity in Content Analysis

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  • Andreas Armborst

Abstract

This article explains how to calculate thematic proximity within a mixed methods content analysis approach. Thematic proximity of two themes can indicate the presence of meta-themes. Meta-themes are themes which acquire their meaning through the systematic co-occurrence of two or more other themes. By combining qualitative and quantitative techniques of content analysis, the researcher can reveal these latent text patterns. Using a study on Jihadi media as a showcase, the article describes how to detect meta-themes through content analysis. To this end, the article introduces a novel theme-correlation coefficient that adds valuable information to traditional theme relation metrics. It enables researchers to make new empirical observations in text data.

Suggested Citation

  • Andreas Armborst, 2017. "Thematic Proximity in Content Analysis," SAGE Open, , vol. 7(2), pages 21582440177, June.
    • Handle: RePEc:sae:sagope:v:7:y:2017:i:2:p:2158244017707797
    DOI: 10.1177/2158244017707797
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    References listed on IDEAS

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    1. Anton Oleinik, 2011. "Mixing quantitative and qualitative content analysis: triangulation at work," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(4), pages 859-873, June.
    2. Klaus krippendorff, 2004. "Measuring the Reliability of Qualitative Text Analysis Data," Quality & Quantity: International Journal of Methodology, Springer, vol. 38(6), pages 787-800, December.
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    7. Mª del Carmen Olmos-Gómez & Ligia Isabel Estrada-Vidal & Francisca Ruiz-Garzón & Rafael López-Cordero & Laila Mohamed-Mohand, 2019. "Making Future Teachers More Aware of Issues Related to Sustainability: An Assessment of Best Practices," Sustainability, MDPI, vol. 11(24), pages 1-21, December.

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