Focus-group interview and data analysis

By F. Rabiee. Proceedings of the Nutrition Society, 2004

2,088 citations recorded by the source corpus.

Subfields: Education, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/749a14890e8b5208d3a49dd71f07c49078744e30

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Citations in the corpus

The use of focus group discussion methodology: Insights from two decades of application in conservation (2018, background): “To overcome this, Rabiee (2004) recommends that researchers may over- recruit by 10– 25%.”
The impact of environmental regulations on urban Green innovation efficiency: The case of Xi'an (2020, background): “Rabiee (2004) pointed out that 6–8 people are generally the best choice for focus-groups interviews, thus six people were selected.”
Focus Group Interviews in Child, Youth, and Parent Research: An Integrative Literature Review (2019, background): “The participants need to have some experience with the study topic, be within the appropriate age range, or have similar psychosocial characteristics (R. Barbour, 2018; Krueger & Casey, 2009; Rabiee, 2004).”
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context (2020, background): “Although there are a number of methods [72, 77, 80] across disciplines such as anthropology, ethnography, economics and the social sciences, for discovering/eliciting the stories and perspectives of groups, these discipline-specific practices are not typically”
Mental Qualities and Employed Mental Techniques of Young Elite Team Sport Athletes (2010, methodology): “Following the recommendations of Rubin and Rubin (2005) and Litoselliti (2003), the interview guide incorporated open and neutral questions with additional probes to gain greater detail during participant discussions.”
Relational uncertainty, partner interference, and infertility: A qualitative study of discourse within online forums (2008, background): “Specifically, themes were developed based on the amount of times they surfaced (frequency), the representation of an issue across different units (extensiveness), and the depth of feeling with which the view was expressed in the discourse (intensity) (Krueger, 1998; Rabiee, 2004).”
Service robots in hotels: understanding the service quality perceptions of human-robot interaction (2019, background): “These procedures considered the frequency, extensiveness, intensity, and internal consistency of the comments, the speci ﬁ city of the responses, and the major ideas conveyed (Rabiee, 2004).”