khan_2023_inspiration

1,056 responses from 176 respondents to 6 items.

One of 3 tables from the same source; this one measures Inspiration. The others are listed under Related tables.

About this table

DescriptionFelt inspiration after the vignette, 6 items; 6 items, 1-7 (didn't feel anything-felt very strongly); 176 participants in a six-condition vignette experiment on moral exemplars in organisations; covariates: cov_condition, cov_gender, cov_age_group, cov_education, cov_job_status, cov_work_experience.
ReferenceKhan, S. (2023). Inspiring Followers to Follow: Perceiving Purpose and Motivation behind Ethical Behavior and a Quest for 'Ethical' Leadership in the Organization [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/CC2HL8
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/CC2HL8

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

Responses1,056
Respondents176
Items6
Response categories7
Responses per respondent6
Responses per item176
Density1
LongitudinalFALSE

Classification

construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
construct nameInspiration

Codebook

This codebook is reconstructed by the IRW from the IRW data standard. 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).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Respondent covariates
cov_age_groupCovariate not traced
cov_conditionCovariate not traced
cov_educationCovariate not traced
cov_genderCovariate not traced
cov_job_statusCovariate not traced
cov_work_experienceCovariate not traced

What item codes and covariate values stand for is in the codebook released with the source data.

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("khan_2023_inspiration")
# Python
pip install irw

import irw
df = irw.fetch("khan_2023_inspiration")

How to cite

@misc{https://doi.org/10.7910/dvn/cc2hl8,
  doi = {10.7910/DVN/CC2HL8},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/CC2HL8},
  author = {Khan, Shazia},
  keywords = {Business and Management, FOS: Economics and business},
  title = {Inspiring Followers to Follow: Perceiving Purpose and Motivation behind Ethical Behavior and a Quest for ‘Ethical’ Leadership in the Organization},
  publisher = {Harvard Dataverse},
  year = {2023}
}

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