chen_2026_pr

1,176 responses from 392 respondents to 3 items.

One of 10 tables from the same source; this one is the pr table. The others are listed under Related tables.

About this table

DescriptionFrom Cognitive-Emotional Interaction to Identity Construction: How Personality and Technology of Religious Virtual Influencer Affect Behavioral Intention. IRW table chen_2026_pr: 392 respondents x 3 items, 1176 responses.
ReferenceChen, L.; Jin, W. (2026). From Cognitive-Emotional Interaction to Identity Construction: How Personality and Technology of Religious Virtual Influencer Affect Behavioral Intention. Mendeley Data, V1.
LicenceCC BY 4.0
Source datahttps://data.mendeley.com/datasets/ywjhb9mw82

Size and shape

Responses1,176
Respondents392
Items3
Response categories6
Responses per respondent3
Responses per item392
Density1
LongitudinalFALSE

Classification

sampleInternet-based
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi

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

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("chen_2026_pr")
# Python
pip install irw

import irw
df = irw.fetch("chen_2026_pr")

How to cite

@misc{https://doi.org/10.17632/ywjhb9mw82,
  doi = {10.17632/YWJHB9MW82},
  url = {https://data.mendeley.com/datasets/ywjhb9mw82},
  author = {Chen, Lu and Jin, Wenkui},
  keywords = {Research Article},
  title = {From Cognitive-Emotional Interaction to Identity Construction: How Personality and Technology of Religious Virtual Influencer Affect Behavioral Intention},
  publisher = {Mendeley Data},
  year = {2026}
}

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse_5 v8.4
Redivis dataset DOI10.57761/0gqp-zn75
Manifest pin for this IRW versionv8.4
Metadata sourceirw_meta v43.0