4,000 responses from 200 respondents to 20 items.
| Description | Multidimensional Fatigue Inventory-20 (MFI-20, the paper's focal instrument, Indonesian validation), type 2 diabetes patients, N=200 |
|---|---|
| Reference | Romadlon DS, Huang HC, Chen YC, Hu SH, Hasan F, Chiang Morales MD, et al. (2022). Fatigue following type 2 diabetes: Psychometric testing of the Indonesian version of the multidimensional fatigue Inventory-20 and unmet fatigue-related needs. PLOS ONE, 17(12), e0278165. https://doi.org/10.1371/journal.pone.0278165 |
| DOI | 10.1371/journal.pone.0278165 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0278165.s004 |
| Responses | 4,000 |
|---|---|
| Respondents | 200 |
| Items | 20 |
| Response categories | 5 |
| Responses per respondent | 20 |
| Responses per item | 200 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Clinical |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ind |
cov_agecov_educationcov_marital_statuscov_sexcov_treatmentiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("romadlon_2022_mfi20")
# Python
pip install irw
import irw
df = irw.fetch("romadlon_2022_mfi20")
| 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 |