Three approaches to qualitative content analysis

Hsiu Fang Hsieh, Sarah Shannon

Research output: Contribution to journalArticle

11246 Citations (Scopus)

Abstract

Content analysis is a widely used qualitative research technique. Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm. The major differences among the approaches are coding schemes, origins of codes, and threats to trustworthiness. In conventional content analysis, coding categories are derived directly from the text data. With a directed approach, analysis starts with a theory or relevant research findings as guidance for initial codes. A summative content analysis involves counting and comparisons, usually of keywords or content, followed by the interpretation of the underlying context. The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.

Original languageEnglish (US)
Pages (from-to)1277-1288
Number of pages12
JournalQualitative Health Research
Volume15
Issue number9
DOIs
StatePublished - Nov 2005
Externally publishedYes

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content analysis
Terminal Care
Qualitative Research
trustworthiness
coding
Research Design
Research
research method
qualitative research
threat
paradigm
interpretation

Keywords

  • Content analysis
  • End-of-life care
  • Qualitative research
  • Research methodology

ASJC Scopus subject areas

  • Nursing(all)
  • Health(social science)
  • Health Professions(all)

Cite this

Three approaches to qualitative content analysis. / Hsieh, Hsiu Fang; Shannon, Sarah.

In: Qualitative Health Research, Vol. 15, No. 9, 11.2005, p. 1277-1288.

Research output: Contribution to journalArticle

Hsieh, Hsiu Fang ; Shannon, Sarah. / Three approaches to qualitative content analysis. In: Qualitative Health Research. 2005 ; Vol. 15, No. 9. pp. 1277-1288.
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