About this table

Description	International public service motivation scale (Kim et al. 2013): attraction to public service, commitment to public values, compassion, self-sacrifice, 4 items each; 16 items, 1-7 (strongly disagree-strongly agree); 456 US public employees (police and non-police) in a three-arm recall priming experiment; covariates: cov_condition, cov_police, cov_public_years, cov_age, cov_ideology, cov_education, cov_black, cov_female.
Reference	Nicholson-Crotty, S., Nicholson-Crotty, J., Li, D., & Christensen, R. (2021). Exploring the conditionality of public service motivation: evidence from a priming experiment. Asia Pacific Journal of Public Administration, 44(3), 234-248. https://doi.org/10.1080/23276665.2021.1934052
DOI	10.1080/23276665.2021.1934052
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/RODZ9I

Size and shape

Responses	7,296
Respondents	456
Items	16
Response categories	7
Responses per respondent	16
Responses per item	456
Density	1
Longitudinal	FALSE

Classification

age range	Adult (18+)
sample	Workplace
construct type	Opinion/attitude
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	eng
construct name	Public Service Motivation (PSM; Kim et al. 2013 international scale)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, nicholson_crotty_2021_psm.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).	made in the build script
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_age`	Covariate	`age`
`cov_black`	Covariate	`blk`
`cov_condition`	Covariate	`treatment`
`cov_education`	Covariate	`educ`
`cov_female`	Covariate	`female`
`cov_ideology`	Covariate	`poli`
`cov_police`	Covariate	`police`
`cov_public_years`	Covariate	`public_yrs`

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("nicholson_crotty_2021_psm")

# Python
pip install irw

import irw
df = irw.fetch("nicholson_crotty_2021_psm")

How to cite

@article{Nicholson_Crotty_2021, title={Exploring the conditionality of public service motivation: evidence from a priming experiment}, volume={44}, ISSN={2327-6673}, url={http://dx.doi.org/10.1080/23276665.2021.1934052}, DOI={10.1080/23276665.2021.1934052}, number={3}, journal={Asia Pacific Journal of Public Administration}, publisher={Informa UK Limited}, author={Nicholson-Crotty, Sean and Nicholson-Crotty, Jill and Li, Danyao and Christensen, Robert K.}, year={2021}, month=May, pages={234–248} }

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