3,022 responses from 121 respondents to 25 items.
| Description | 25-item Iranian Midwives Job Satisfaction Instrument (MJSI, 5-point Likert) across five factors (responsibility, communication, professional, physical-mental, social), from a survey of N=121 midwives. |
|---|---|
| Reference | Direkvand-Moghadam A, Rashan N, Bahmani M, Taheri S (2022) Development and psychometric properties of Iranian midwives job satisfaction instrument (MJSI): A sequential exploratory study. PLoS ONE. |
| DOI | 10.1371/journal.pone.0262665 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0262665.s002 |
| Responses | 3,022 |
|---|---|
| Respondents | 121 |
| Items | 25 |
| Response categories | 5 |
| Responses per respondent | 24.975 |
| Responses per item | 120.880 |
| Density | 0.999 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| 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 | Iranian Midwives Job Satisfaction Instrument (MJSI) |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | -3.400 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("direkvand_2022_mjsi")
# Python
pip install irw
import irw
df = irw.fetch("direkvand_2022_mjsi")
| 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 |