Table 3.
FIA-Q10 Delphi round 2 results: face content validation agreement counts/frequency and precents
| FIA-Q10 | Demographics Module | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Strongly disagree | Disagree | Have no opinion | Agree | Strongly Agree | Strongly disagree | Disagree | Have no opinion | Agree | Strongly Agree | |
| Visual appropriateness: the FIA-Q10 uses clear syntax, sufficient white space, and is visually accessible | 1 (4.8%) | 6 (28.6%) | 0 (0%) | 10 47.6% | 4 (19.0%) | 0 (0%) | 0 (0%) | 0 (0%) | 13 (86.7%) | 2 (13.3%) |
| Language appropriateness: the FIA-Q10 uses clear language and grammar that is easy to follow | 1 (4.8%) | 0 (0%) | 0 (0%) | 13 (61.9%) | 7 (33.3%) | 0 (0%) | 0 (0%) | 0 (0%) | 8 (50.0%) | 8 (50.0%) |
| Relevance: the FIA-Q10 asks questions that are relevant | 1 (4.8%) | 0 (0%) | 0 (0%) | 15 (71.4%) | 5 (23.8%) | 0 (0%) | 1 (6.3%) | 0 (0%) | 8 (50.0%) | 7 (43.8%) |
| Representativeness: the FIA-Q10 contains response options that represent different people and situations | 1 (4.8%) | 0 (0%) | 0 (0%) | 15 (71.4%) | 5 (23.8%) | 0 (0%) | 1 (6.3%) | 0 (0%) | 9 (56.3%) | 6 (37.5%) |
| Distribution: the FIA-Q10 contains response options that could capture a wide range of answers | 1 (4.8%) | 0 (0%) | 0 (0%) | 15 (71.4%) | 5 (23.8%) | 0 (0%) | 0 (0%) | 0 (0%) | 9 (60.0%) | 6 (40.0%) |
| No | Maybe | Yes | No | Maybe | Yes | |||||
| The order of questions and flow in the FIA-Q10 make sense | 0 (0%) | 0 (0%) | 21 (100.0%) | 0 (0%) | 2 (12.5%) | 14 (87.5%) | ||||
| The questionnaire meets its goal* | 0 (0%) | 1 (5.0%) | 19 (95.0%) | 1 (6.3%) | 0 (0%) | 15 (93.8%) | ||||
| Would you consider using the questionnaire? | 0 (0%) | 0 (0%) | 20 (100.0%) | 0 (0%) | 2 (13.3%) | 13 (86.7%) | ||||
N = 21 panelists participated in round 2 of the Delphi for both the FIA-Q10 and its accompanying options demographics module
Goal of FIA-Q10: to get a snapshot of foodwork (especially time, interpersonal dynamics, barriers) within a household using a maximum of 10 questions
Goal of optional demographics module: to collect self-identified demographic data for clinics and studies that may not already collect it to enable studies of how social-structural positionality factors may interact or intersect to affect household foodwork in 20 or fewer questions so that it does not take more than 20 min for someone to complete