Qualitative Content Analysis

Analyzability & a Qualitative Content Analysis Case Study

The following is a modified excerpt from Applied Qualitative Research Design: A Total Quality Framework Approach (Roller & Lavrakas, 2015, pp. 284-285).

Kuperberg and Stone (2008) present a case study where content analysis was used as the primary research method. Gender & SocietyIt is an example of how many of the Total Quality Framework (TQF) concepts can be applied — not only to the in-depth interview, focus group, observation, and case centered methods, discussed elsewhere in Research Design Review, but — to qualitative content analysis. The discussion below spotlights aspects of this study relevant to one of the four TQF components, Analyzability.

Purpose & Scope
The primary purpose of this content analysis study was to extend the existing literature on the portrayal of women’s roles in print media by examining the imagery and themes depicted of heterosexual college-educated women who leave the workforce to devote themselves to being stay-at-home mothers (a phenomenon referred to as “opting out”) across a wide, diverse range of print publications. More specifically, this research set out to investigate two areas of media coverage: the content (e.g., the women who are portrayed in the media and how they are described) and the context (e.g., the types of media and articles).

This study examined a 16-year period from 1988 to 2003. This 16-year period was chosen because 1988 was the earliest date on which the researchers had access to a searchable database for sampling, and 2003 was the year that the term “opting out” (referring to women leaving the workforce to become full-time mothers) became popular. The researchers identified 51 articles from 30 publications that represented a wide diversity of large-circulation print media. The researchers acknowledged that the sample “underrepresents articles appearing in small-town outlets” (p. 502).

There are two aspects of the TQF Analyzability component — processing and verification. In terms of processing, the content data obtained by Kuperberg and Stone from coding revealed three primary patterns or themes in the depiction of women who opt out: “family first, child-centric”; “the mommy elite”; and “making choices.” The researchers discuss these themes at some length and support their findings by way of research literature and other references. In some instances, they report that their findings were in contrast to the literature (which presented an opportunity for future research in this area). Their final interpretation of the data includes their overall assertion that print media depict “traditional images of heterosexual women” (p. 510).

Important to the integrity of the analysis process, the researchers absorbed themselves in the sampled articles and, in doing so, identified inconsistencies in the research outcomes. For example, a careful reading of the articles revealed that many of the women depicted as stay-at-home mothers were actually employed in some form of paid work from home. The researchers also enriched the discussion of their findings by giving the reader some context relevant to the publications and articles. For example, they revealed that 45 of the 51 articles were from general interest newspapers or magazines, a fact that supports their research objective of analyzing print media that reach large, diverse audiences.

In terms of verification, the researchers performed a version of deviant case analysis in which they investigated contrary evidence to the assertion made by many articles that there is a growing trend in the proportion of women opting out. Citing research studies from the literature as well as actual trend data, the researchers stated that the articles’ claim that women were increasingly opting out had weak support.

Kuperberg, A., & Stone, P. (2008). The media depiction of women who opt out. Gender & Society, 22(4), 497–517.

Qualitative Data Analysis: 16 Articles on Process & Method

“Qualitative Data Analysis: 16 Articles oQualitative Data Analysisn Process & Method” is a new compilation of selected articles appearing in Research Design Review from 2010 to December 2019 concerning various facets of qualitative data analysis. Although there are other RDR articles posted in this time period related to analysis — such as articles on transparency, e.g., “The Use of Quotes & Bringing Transparency to Qualitative Analysis” and those pertaining to quantitative-qualitative research topics, e.g., “Qualitative Analysis: The Biggest Obstacle to Enriching Survey Outcomes”  — the 16 articles in this compilation are narrowly focused on issues relevant to applying a quality approach to the analytical process — e.g., identifying the unit of analysis, coding, and use of “buckets” — and the qualitative content analysis method.

“Qualitative Data Analysis: 16 Articles on Process & Method” is available for download here.

Two other compilations are also available for download: “The Focus Group Method: 18 Articles on Design & Moderating is available for download here. And “The In-depth Interview Method: 12 Articles on Design & Implementation” is available for download here.

Qualitative Research Analysis: Selected Articles from 2019

Research Design Review is a blog first published in November 2009. RDR currently consists of more thQualitative Research Analysisan 220 articles and has 650+ subscribers along with nearly 780,000 views. As in recent years, many of the articles published in 2019 centered on qualitative research. This paper — “Qualitative Research: Analysis” — represents a compilation of four of these articles pertaining to qualitative research analysis.

These articles cover a range of topics including: considerations when defining the unit of analysis; a discussion on handling “gaps” in the data; a cautionary perspective on coding, i.e., reminding researchers that an overemphasis on coding may miss the true intention of qualitative data analysis; and a look at a Total Quality Framework approach to the qualitative content analysis method.

A separate paper consisting of 14 2019 RDR articles on design and methods can be found here.