Content Analysis: Using Critical Realism to Extend Its Utility
Content analysis (CA) has become one of the most common forms of data analysis, but it is often criticized for a lack of rigor and limited utility of its findings. We define CA and describe its general procedures and the three most frequently used forms of CA. Next, we review the history of CA leading up to its current popularity within diverse disciplines, including social science and healthcare disciplines. Its origins highlight concerns about researchers’ motivations underlying their interpretations of communications. In response, improved transparency and the application of CA in understanding underlying connotation in communications have furthered its evolution. CA can now be located on a continuum representing depth of interpretation, from surface description of phenomena to the uncovering of deeper meanings. We explore how CA may be used to uncover deeper underlying meanings and answer questions concerning how social relations, in connection with their context, affect outcomes such as individual behavior. By investigating deeper meanings, researchers can explore the core of the phenomenon and posit explanations of why the phenomenon is as it is. Finally, we argue that adopting an explicit philosophical orientation for inquiry will improve rigor and enhance practical utility of findings. We examine the philosophical and theoretical position of critical realism with CA. We then provide an example to illustrate the use of critical realism and outline the position’s key aspects to consider in future directions of CA.
KeywordsContent analysis History Qualitative description Critical realism Rigor Qualitative research utility
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- Bhaskar R. Chapter 2: Philosophy and scientific realism. In: Archer M, Bhaskar R, Collier A, Lawson T, Norrie A, editors. Critical realism: essential readings. New York: Routledge; 1998. p. 16–47.Google Scholar
- George AL. Propaganda analysis: a study of inferences made from Nazi propaganda in World War II. Evanston: Row, Peterson; 1959.Google Scholar
- Krippendorff K. Content analysis: an introduction to its methodology. 3rd ed. Thousand Oaks: Sage; 2013.Google Scholar
- Mayan MJ. Essentials of qualitative inquiry. Walnut Creek: Left Coast Press; 2009.Google Scholar
- Miles MB, Huberman AM, Saldana J. Qualitative data analysis: a methods sourcebook. 3rd ed. Thousand Oaks: Sage; 2014.Google Scholar
- Philosophical foundations: critical realism. In: Mingers J, editor. Realising systems: knowledge and action in management science. Boston: Springer; 2006. pp. 11–31. https://doi.org/10.1007/0-387-29841-X_2.
- Sandelowski M. What’s in a name? Qualitative description revisited. Res Nurs Health. 2010;33:77–84.Google Scholar
- Tong A, Fleming K, McInnes E, Oliver S, Craig J. Enhancing transparency in reporting the synthesis of qualitative research: ENTREQ. BMC Med Res Methodol. 2012;12:181. Retrieved from https://bmcmedresmethodol.biomedcentral.com/track/pdf/10.1186/1471-2288-12-181?site=bmcmedresmethodol.biomedcentral.com.CrossRefGoogle Scholar
- Wilson V. Research methods: content analysis. Evid Based Libr Inf Pract. 2016;6:177–9. Retrieved from https://journals.library.ualberta.ca/eblip/index.php/EBLIP/article/view/12180/13124.CrossRefGoogle Scholar