The DOI matches its Crossref record.
Content Analysis: Process and Application
Abstract
Content analysis is a research method for analyzing written verbal or visual communication messages. When appited to messages produced in clinical settings, content analysis is a relevant strategy for conducting practice-oriented nursing research. In this paper content analysis is defined and the basic principles of this research technique are discussed. The method for conducting content analysis research is outlined and explained. Finally, an example is provided which demonstrates the application of this strategy for developing clinical nursing knowledge in a critical care setting.
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Cited by
The qualitative content analysis process
Elo, S., & Kyngäs, H. (2008) · Journal of Advanced Nursing · doi:10.1111/j.1365-2648.2007.04569.x · Cited by 22,617
Cavanagh, S. (1997) · Nurse Researcher · doi:10.7748/nr.4.3.5.s2 · Cited by 1,133
Nilsen, P., & Bernhardsson, S. (2019) · BMC Health Services Research · doi:10.1186/s12913-019-4015-3 · Cited by 1,014
Communicating CSR: Integrated approach or Selfie? Evidence from the Milan Stock Exchange
Montecchia, A., Giordano, F., & Grieco, C. (2016) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2016.01.099 · Cited by 69
Brooks, E., & Sjöberg, J. (2020) · Proceedings of the Interaction Design and Children Conference · doi:10.1145/3392063.3394402 · Cited by 15
Metadata
- Authors
- Cole, F. L.
- Venue
- Clinical Nurse Specialist
- Published
- 1988
- Volume
- 2
- Issue
- 1
- Pages
- 53-57
- ISSN
- 0887-6274 (ISSN-L)
- OpenAlex
- W2012321650
- Cited by
- 418
- References
- 0
- FWCI
- 2.39
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cole, F. L. (1988). Content Analysis: Process and Application. Clinical Nurse Specialist. https://doi.org/10.1097/00002800-198800210-00025
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.