21,634 responses from 373 respondents to 58 items.
| Description | 58-item Food and Nutrition Literacy (FNLIT) scale for elementary school children in Iran, spanning 10 sub-domains |
|---|---|
| Reference | Doustmohammadian A, Omidvar N, Keshavarz-Mohammadi N, Abdollahi M, Amini M, Eini-Zinab H (2017) Developing and validating a scale to measure Food and Nutrition Literacy (FNLIT) in elementary school children in Iran. PLoS ONE 12(6): e0179196. |
| DOI | 10.1371/journal.pone.0179196 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0179196.s007 |
| Responses | 21,634 |
|---|---|
| Respondents | 373 |
| Items | 58 |
| Response categories | 5 |
| Responses per respondent | 58 |
| Responses per item | 373 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | per |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Food and Nutrition Literacy (FNLIT) scale for elementary school children (58-item validation form) |
|---|---|
| Mean words per item | 10.345 |
| Mean characters per item | 60.328 |
| Mean characters per response | 5.762 |
| Flesch-Kincaid grade level | 7.530 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("doustmohammadian_2017_fnlit")
# Python
pip install irw
import irw
df = irw.fetch("doustmohammadian_2017_fnlit")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |