A Modified Nominal Group Technique (mNGT) – Finding Priorities in Research
Author(s) -
Sa'Nealdra Wiggins,
Sarah Colby,
Lauren Moret,
Marissa McElrone,
Melissa D. Olfert,
Kristin Riggsbee,
Audrey OpokuAcheampong,
Tandalayo Kidd
Publication year - 2020
Publication title -
american journal of health behavior
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.591
H-Index - 68
eISSN - 1945-7359
pISSN - 1087-3244
DOI - 10.5993/ajhb.44.3.7
Subject(s) - brainstorming , nominal group technique , qualitative property , qualitative research , data collection , medical education , psychology , population , perception , computer science , medicine , knowledge management , statistics , environmental health , machine learning , artificial intelligence , mathematics , social science , sociology , neuroscience
Objectives: The objective of this study was to describe a modified nominal group technique (mNGT) approach to assess community health priorities and its application to a childhood obesity prevention project conducted with the high school population. Methods: This manuscript provides detailed information of a mNGT separately conducted with 3 cohorts, (students, teachers/administration, parents). Participants used a response sheet to brainstorm, document top 5 responses, and rank each response individually. We also used a unique reverse scoring method to quantify the qualitative data and within and between group scores for comparison against other cohorts. Summaries provided additional insight into the participants' perceptions. Results: The mNGT process successfully reduced limitations common to the traditional nominal group technique by providing an in-depth understanding of perceptions and understanding priorities. Conclusions: mNGT can be useful across other disciplines as a method of gathering rich qualitative feedback that can be transformed into a more quantitative form for analysis.
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