4,959 responses from 360 respondents to 14 items.
| Description | 15-item Social/co-worker and interpersonal motivation subscale (5-point Likert, 1-5), from a physician motivation tool validated on N=360 physicians in Lahore, Pakistan. |
|---|---|
| Reference | Malik A, Yamamoto S, Haque A, Butt N, Baig M, Sauerborn R (2018) Developing and assessing a tool to measure motivation among physicians in Lahore, Pakistan. PLoS ONE. |
| DOI | 10.1371/journal.pone.0209546 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0209546.s001 |
| Responses | 4,959 |
|---|---|
| Respondents | 360 |
| Items | 14 |
| Response categories | 5 |
| Responses per respondent | 13.775 |
| Responses per item | 354.214 |
| Density | 0.984 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Workplace |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Physician motivation tool (Malik et al. 2018), socio-cultural motivation section |
|---|---|
| Mean words per item | 10.714 |
| Mean characters per item | 62.929 |
| Mean characters per response | 10.200 |
| Flesch-Kincaid grade level | 8.622 |
cov_agecov_gendercov_marital_statusiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("malik_2018_social_motivation")
# Python
pip install irw
import irw
df = irw.fetch("malik_2018_social_motivation")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |