About this table

Description	General Causality Orientations Scale (GCOS), autonomy orientation, 17 vignette responses, 1-7; 544 US public and nonprofit employees; cov_sex, cov_race_binary, cov_job_type, cov_education (source codes; labels undocumented), cov_job_level, cov_sector.
Reference	Bland, J. (2024). Replication Data for A Characteristic Adaptation of the Prosocial Default: Unpacking the Role of Causality Orientations and Moral Foundations in Public Service Motivation [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/MHVAJZ
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/MHVAJZ

Notes

Each of the 17 GCOS vignettes has three responses (autonomy, control, impersonal), split here into three tables by orientation as GCOS is scored; item GCk_A answers the same vignette as GCk_C and GCk_I. Item codes are the deposit's. No codebook in the deposit.

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

Size and shape

Responses	9,248
Respondents	544
Items	17
Response categories	7
Responses per respondent	17
Responses per item	544
Density	1
Longitudinal	FALSE

Classification

sample	Workplace
construct type	Personality
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	eng
construct name	General Causality Orientations Scale (GCOS), autonomy orientation

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, bland_2024_prosocial_default.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
Respondent covariates
`cov_education`	Covariate	`Ed_Ascending`
`cov_job_level`	Covariate	made in the build script
`cov_job_type`	Covariate	`Job_Type`
`cov_race_binary`	Covariate	`Race_Binary`
`cov_sector`	Covariate	made in the build script
`cov_sex`	Covariate	`Sex`

What item codes and covariate 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("bland_2024_gcos_autonomy")

# Python
pip install irw

import irw
df = irw.fetch("bland_2024_gcos_autonomy")

How to cite

@misc{https://doi.org/10.7910/dvn/mhvajz,
  doi = {10.7910/DVN/MHVAJZ},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/MHVAJZ},
  author = {Bland, James},
  keywords = {Other},
  title = {Replication Data for A Characteristic Adaptation of the Prosocial Default: The Psychological and Moral Bases of Public Service Motivation},
  publisher = {Harvard Dataverse},
  year = {2024}
}

Version and provenance

IRW version	v584
Redivis dataset	item_response_warehouse_5 v8.5
Redivis dataset DOI	10.57761/41xy-5k56
Manifest pin for this IRW version	v8.5
Metadata source	irw_meta v44.0

bland_2024_gcos_autonomy