12,733 responses from 360 respondents to 36 items.
One of 3 tables from the same source; this one is the organizational_motivation table. The others are listed under Related tables.
| Description | 36-item Organizational/workplace 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 | 12,733 |
|---|---|
| Respondents | 360 |
| Items | 36 |
| Response categories | 5 |
| Responses per respondent | 35.369 |
| Responses per item | 353.694 |
| Density | 0.982 |
| 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), organizational factors section |
|---|---|
| Mean words per item | 5.639 |
| Mean characters per item | 37.139 |
| Mean characters per response | 10.200 |
| Flesch-Kincaid grade level | 10.965 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, malik_2018_physician_motivation.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | A1 |
cov_gender | Covariate 1 = Male · 2 = Female | A2 |
cov_marital_status | Covariate 1 = Single · 2 = Married · 3 = widowed · 4 = Divorced | A3 |
Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled values stand for is in the source’s questionnaire, S1_Questionnaire.pdf, which shows the item wording.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("malik_2018_organizational_motivation")
# Python
pip install irw
import irw
df = irw.fetch("malik_2018_organizational_motivation")
@article{Malik_2018, title={Developing and assessing a tool to measure motivation among physicians in Lahore, Pakistan}, volume={13}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0209546}, DOI={10.1371/journal.pone.0209546}, number={12}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Malik, Ahmad Azam and Yamamoto, Shelby Suzanne and Haque, Aminul and Butt, Nadeem Shafique and Baig, Mukhtiar and Sauerborn, Rainer}, editor={van Wouwe, Jacobus P.}, year={2018}, month=Dec, pages={e0209546} }
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v13.0 |
| Redivis dataset DOI | 10.57761/w8zx-td92 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v43.0 |