2,040 responses from 170 respondents to 12 items.
| Description | 12-item raw AIM-IAM-FIM implementation-outcome scale (1-5 Likert), Malay-language survey on a community-based health programme (MIICA/KOSPEN) |
|---|---|
| Reference | Salleh H, Avoi R, Abdul Karim H, Osman S, Kaur N, Dhanaraj P (2023) Translation, Cross-Cultural Adaptation to Malay, and psychometric evaluation of the AIM-IAM-FIM questionnaire: Measuring the implementation outcome of a community-based intervention programme. PLoS ONE 18(11). |
| DOI | 10.1371/journal.pone.0294238 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0294238.s001 |
| Responses | 2,040 |
|---|---|
| Respondents | 170 |
| Items | 12 |
| Response categories | 5 |
| Responses per respondent | 12 |
| Responses per item | 170 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Program-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | may |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | AIM-IAM-FIM questionnaire (Malay Version): Acceptability of Intervention Measure (AIM), Intervention Appropriateness Measure (IAM), Feasibility of Intervention Measure (FIM) |
|---|---|
| Mean words per item | 5 |
| Mean characters per item | 32.333 |
| Mean characters per response | 11.400 |
| Flesch-Kincaid grade level | 7.600 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("salleh_2023_aim_iam_fim")
# Python
pip install irw
import irw
df = irw.fetch("salleh_2023_aim_iam_fim")
| 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 |