xu2024_self_efficacy

2,898 responses from 414 respondents to 7 items.

About this table

DescriptionSelf-Efficacy subscale (7 items); construction worker safety study (China); N=414; 1-5 Likert
ReferenceXu, X. (2023). Replication Data for: Insight into the mechanism of non-compliance tasks on construction workers' unsafe behavior from the view of cognitive-affective system theory of personality [Dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/ATLXC5
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/ATLXC5

Size and shape

Responses2,898
Respondents414
Items7
Response categories5
Responses per respondent7
Responses per item414
Density1
LongitudinalFALSE

Classification

sampleWorkplace

Columns

cov_agecov_educationcov_gendercov_trade_typecov_work_experienceiditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("xu2024_self_efficacy")
# Python
pip install irw

import irw
df = irw.fetch("xu2024_self_efficacy")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_2 v19.0
Redivis dataset DOI10.57761/qtx5-4m80
Manifest pin for this IRW versionv19.0
Metadata sourceirw_meta v23.0