blaszyk_2023_copsoq_js

1,011 responses from 254 respondents to 4 items.

One of 8 tables from the same source; this one measures Copenhagen Psychosocial Questionnaire II (COPSOQ II) - job satisfaction. The others are listed under Related tables.

About this table

DescriptionCOPSOQ II job satisfaction subscale (Polish), 4 items, 1-4 (1 = very satisfied), 307 Polish physicians from 51 specialties (online, N per table 254-288 after missing codes); cov_age, cov_specialty.
ReferenceBlaszyk, M. A., & Kroemeke, A. (2023). Polish adaptation of Physician's Trust in the Patient Scale (PTPS) - psychometric properties and validation [Data set]. Mendeley Data, V1. https://doi.org/10.17632/x2rxtpzg4v.1
LicenceCC BY 4.0
Source datahttps://data.mendeley.com/datasets/x2rxtpzg4v/1

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses1,011
Respondents254
Items4
Response categories4
Responses per respondent3.980
Responses per item252.750
Density0.995
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleTargeted/specific, Workplace
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)pol
construct nameCopenhagen Psychosocial Questionnaire II (COPSOQ II) - job satisfaction

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, blaszyk_2023_ptps.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.

ColumnWhat it isSource column
IRW standard columns
idIRW 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
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate made in the build script
cov_specialtyCovariate made in the build script

What item codes and covariate values stand for is in the source’s codebook, file_downloaded.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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("blaszyk_2023_copsoq_js")
# Python
pip install irw

import irw
df = irw.fetch("blaszyk_2023_copsoq_js")

How to cite

@misc{https://doi.org/10.17632/x2rxtpzg4v.1,
  doi = {10.17632/X2RXTPZG4V.1},
  url = {https://data.mendeley.com/datasets/x2rxtpzg4v/1},
  author = {{Marta Adrianna Blaszyk}},
  title = {Polish adaptation of Physician’s Trust in the Patient Scale (PTPS) – psychometric properties and validation},
  publisher = {Mendeley},
  year = {2023},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0