Thematic Proximity in Content Analysis
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....
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Online Access: | https://doi.org/10.1177/2158244017707797 |
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doaj-90afc6922a1142d3a57144f866cb5ea22020-11-25T01:25:46ZengSAGE PublishingSAGE Open2158-24402017-06-01710.1177/2158244017707797Thematic Proximity in Content AnalysisAndreas Armborst0National Center for Crime Prevention (NZK), Bonn, GermanyThis 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.https://doi.org/10.1177/2158244017707797 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Andreas Armborst |
spellingShingle |
Andreas Armborst Thematic Proximity in Content Analysis SAGE Open |
author_facet |
Andreas Armborst |
author_sort |
Andreas Armborst |
title |
Thematic Proximity in Content Analysis |
title_short |
Thematic Proximity in Content Analysis |
title_full |
Thematic Proximity in Content Analysis |
title_fullStr |
Thematic Proximity in Content Analysis |
title_full_unstemmed |
Thematic Proximity in Content Analysis |
title_sort |
thematic proximity in content analysis |
publisher |
SAGE Publishing |
series |
SAGE Open |
issn |
2158-2440 |
publishDate |
2017-06-01 |
description |
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. |
url |
https://doi.org/10.1177/2158244017707797 |
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AT andreasarmborst thematicproximityincontentanalysis |
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