About this table

Description	JCS (Job Crafting Scale), 0-5 Likert; N=839, 21 items, 3 waves, Polish employees
Reference	Baka, L., & Prusik, M. (2023). Three-Wave Study on the Effects of Approach- and Avoidance-Oriented Job Crafting on Job-Related Well-Being: The Mediation Role of Satisfaction and Frustration of Basic Psychological Needs at Work. figshare.
Licence	CC BY 4.0
Source data	https://figshare.com/articles/dataset/Baza_repozytorium_Baka_Prusik_sav/21988799

Size and shape

Responses	52,760
Respondents	839
Items	21
Response categories	5
Responses per respondent	62.884
Responses per item	2512.381
Density	2.994
Longitudinal	TRUE

Classification

age range	Adult (18+)
sample	Workplace
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	pol

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

Instrument	Skala Kształtowania Pracy (Job Crafting Scale, JCS), Polish version
Mean words per item	10.762
Mean characters per item	71.762
Mean characters per response	7
Flesch-Kincaid grade level	13.317

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, baka2023_jobcrafting.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).	`ID`
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
`wave`	IRW standard Longitudinal wave indicator.	made in the build script
Respondent covariates
`cov_age`	Covariate	`M1_age`
`cov_gender`	Covariate `1` = Female · `2` = Male	`M2_gender`
`cov_locality`	Covariate	`locality`
`cov_voivodeship`	Covariate	`voivodeship`

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 codebook released with the source data.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant 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("baka2023_jcs")

# Python
pip install irw

import irw
df = irw.fetch("baka2023_jcs")

How to cite

@misc{https://doi.org/10.6084/m9.figshare.21988799,
  doi = {10.6084/M9.FIGSHARE.21988799},
  url = {https://figshare.com/articles/dataset/THREE-WAVE_STUDY_ON_THE_EFFECTS_OF_APPROACH-_AND_AVOIDANCE-ORIENTED_JOB_CRAFTING_ON_JOB-RELATED_WELL-BEING_THE_MEDIATION_ROLE_OF_SATISFACTION_AND_FRUSTRATION_OF_BASIC_PSYCHOLOGICAL_NEEDS_AT_WORK_/21988799},
  author = {Baka, Lukasz and Prusik, Monika},
  keywords = {Health psychology},
  title = {THREE-WAVE STUDY ON THE EFFECTS OF APPROACH- AND AVOIDANCE-ORIENTED JOB CRAFTING ON JOB-RELATED WELL-BEING. THE MEDIATION ROLE OF SATISFACTION AND FRUSTRATION OF BASIC PSYCHOLOGICAL NEEDS AT WORK.},
  publisher = {figshare},
  year = {2023},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW version	v566
Redivis dataset	item_response_warehouse_3 v13.0
Redivis dataset DOI	10.57761/gpg7-sg87
Manifest pin for this IRW version	v13.0
Metadata source	irw_meta v43.0

baka2023_jcs