Item Response Warehouse / Tables / ganbat_2022_pollution_leave_typeganbat_2022_pollution_leave_type
6,645 responses from 1,329 respondents to 5 items.
About this table
Description 5-item binary (0/1) checklist of leave type used when absent for illness, from the same survey of Ulaanbaatar workers Reference Ganbat A, Erdenebileg T, Batbold A, et al. (2022) Integrating quantitative and qualitative approaches to assess wintertime illness-related absenteeism and its direct and indirect costs among the private sector in Ulaanbaatar. PLoS ONE. DOI 10.1371/journal.pone.0263220 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0263220.s004&type=supplementary
Size and shape
Responses 6,645 Respondents 1,329 Items 5 Response categories 2 Responses per respondent 5 Responses per item 1,329 Density 1 Longitudinal FALSE
Classification
sample Workplace measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) mon
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
Instrument Wintertime illness-related absenteeism survey (Ulaanbaatar private sector), Q7: type of temporary leave Mean words per item 2.400 Mean characters per item 14.800 Mean characters per response 2 Flesch-Kincaid grade level 2.297
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ganbat_2022_pollution_leave_type")
# Python
pip install irw
import irw
df = irw.fetch("ganbat_2022_pollution_leave_type")
Version and provenance
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
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse_4 v7.0.