The following is a modified excerpt from Applied Qualitative Research Design: A Total Quality Framework Approach (Roller & Lavrakas, 2015, pp. 116-119).
The interactive, dynamic aspect of the focus group discussion method is its greatest potential strength as well as its greatest potential liability. This is especially the case in the face-to-face, in-person mode where the close physical proximity of participants can unleash any number of factors that will threaten data quality if left unchecked.
One of the most important factors is the caliber of the discussion; specifically, the extent to which all participants have a fair chance of voicing their input. This is critical because the success of the group discussion method hinges on generating a true discussion where everyone present participates in a dialogue with the other group members and, to a lesser degree, with the moderator. A true participatory discussion, however, can be easily jeopardized in the social context of the in-person focus group (as well as the online synchronous discussion mode) because one or more participants either talk too much (i.e., dominate the discussion) or talk too little (i.e., are hesitant to express their views). In either case, the quality of the data will be compromised by the failure to capture the viewpoints of all participants, leading to erroneous interpretations of the outcomes.
The potentially negative impact that the face-to-face group interaction can have on data quality is an important consideration in qualitative research design, yet this impact—or, the effect of group interaction on the research—is often overlooked when conducting the analyses and reporting the outcomes. Researchers who have explored the role of interaction in focus group research include Grønkjær et al. (2011) and Moen, Antonov, Nilsson, and Ring (2010). Grønkjær et al. analyzed the “interactional events” in five focus groups they conducted with Danes on Read Full Text