borry_2018_rule_following

150 rated or chosen profiles from 150 respondents, in up to 1 tasks of 1 profile varying on 2 attributes.

About this table

Description150 respondents (Study 2) each read one organizational-rule vignette that was written or unwritten and consistently or inconsistently enforced (2x2 between-subject) and indicated rule following (0) or rule bending (1).
ReferenceBorry, E. L., DeHart-Davis, L., Kaufmann, W., Merritt, C. C., Mohr, Z., & Tummers, L. (2018). Formalization and consistency heighten organizational rule following: Experimental and survey evidence. Public Administration, 96(2), 368-385.
DOI10.1111/padm.12407
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/V7SULP

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

Respondents150
Rows (one per respondent, task and profile)150
Tasks per respondent (most)1
Profiles per task1
Attributes2

Design

Topicpublic administration
A profile representsscenario
Countryunknown
Language shownunknown
Language of stored levelsen
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

rating_rulebendingunknown (Rulebreaking, coded 0 = Rule following, 1 = Rulebending; wording not in the deposit) [rating, 0 (Rule following) to 1 (Rulebending)]

Columns

attr_consistencyattr_formalizationcov_agecov_genderidprofilerating_rulebendingtask

The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.

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("borry_2018_rule_following", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("borry_2018_rule_following", source="conj")

How to cite

@article{Borry_2018, title={Formalization and consistency heighten organizational rule following: Experimental and survey evidence}, volume={96}, ISSN={1467-9299}, url={http://dx.doi.org/10.1111/padm.12407}, DOI={10.1111/padm.12407}, number={2}, journal={Public Administration}, publisher={Wiley}, author={Borry, Erin L. and DeHart‐Davis, Leisha and Kaufmann, Wesley and Merritt, Cullen C. and Mohr, Zachary and Tummers, Lars}, year={2018}, month=May, pages={368–385} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0