The definition and use of the content analysis method in qualitative research varies depending on the particular type of qualitative content analysis (QCA) being conducted. The most common QCA method is utilized when it plays a supportive analytical role in combination with other qualitative methods, such as in-depth interviews (IDIs) and focus group discussions, i.e., when content analysis is being used as a secondary method. The other less common QCA method is used when the source of content is an existing, naturally occurring repository of information (such as historical documents, media content, and diaries), i.e., when content analysis is being used as a primary method.
A systematic application of QCA* as a secondary method has been conducted across a variety of disciplines. Health care researchers in particular have used content analysis in conjunction with other qualitative methods to investigate a broad range of topics. For example, Söderberg and Lundman (2001) applied the content analysis method to analyze the results from 25 unstructured IDIs conducted with women inflicted with fibromyalgia, from which they isolated five areas in these women’s lives impacted by the onset of this condition. In a similar approach, Berg and Hansson (2000) examined the lived experiences of 13 nurses working in dementia care at a psychogeriatric clinic who received clinical group supervision and individually planned nursing care. Berg and Hansson conducted unstructured, open-ended IDIs with each nurse and executed a content analysis that revealed two principal and five subordinate themes indicating supportive needs at the personal and professional level. Kyngäs (2004) studied the support network among 40 teenagers suffering from a chronic disease, such as asthma or epilepsy, by way of semi-structured IDIs. Content analysis in this instance showed six distinct social network Read Full Text
Research Design Review currently includes 180 articles concerning quantitative and qualitative research design issues. As in recent years, the articles published in 2017 generally revolved around qualitative research, addressing the many concerns in qualitative research design and ways to help the researcher achieve quality outcomes throughout the research process.
The use of quotes or verbatims from participants is a typical and necessary component to any qualitative research report. It is by revealing participants’ exact language that the researcher helps the user of the research to understand the key takeaways by clarifying through illustration the essential points of the researcher’s interpretations. The idea is not to display an extensive list of what people said but rather provide quotes that have been carefully selected for being the most descriptive or explanatory of the researcher’s conceptual interpretation of the data. As Susan Morrow has written
“An overemphasis on the researcher’s interpretations at the cost of participant quotes will leave the reader in doubt as to just where the interpretations came from [however] an excess of quotes will cause the reader to become lost in the morass of stories.” (Morrow, 2005, p. 256)
By embedding carefully chosen extracts from participants’ words in the final document, the researcher uniquely gives participants a voice in the outcomes while contributing to the credibility – and transparency – of the research. In essence, the use of verbatims gives the users of the research a peek into the analyst’s codebook by Read Full Text