li_2026_empathy

4,420 responses from 442 respondents to 10 items.

One of 5 tables from the same source; this one measures Empathy toward athletes. The others are listed under Related tables.

About this table

DescriptionEmpathy toward athletes, 10 items Q48-Q57, 1-7; N = 442 adult social-media users; 12 demographic/usage covariates (cov_gender, cov_age_group, cov_education, cov_employment, cov_social_media_hours, ...).
ReferenceLi (2026). Compensatory Online Aggressive Behavior Is Associated With Psychological Distress Through Emotional Venting and Negative Affect Duration, Moderated by Empathy. Mendeley Data, V1. https://doi.org/10.17632/sjyrmwbcbx
LicenceCC BY 4.0
Source datahttps://data.mendeley.com/datasets/sjyrmwbcbx

Size and shape

Responses4,420
Respondents442
Items10
Response categories7
Responses per respondent10
Responses per item442
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleGeneral/non-specific
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
construct nameEmpathy toward athletes

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentEmpathy toward athletes (EP)
Mean words per item13.100
Mean characters per item80.700
Mean characters per response5.857
Flesch-Kincaid grade level9.336

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_aggressive_postingCovariate not traced
cov_comment_engagementCovariate not traced
cov_comment_targetCovariate not traced
cov_educationCovariate not traced
cov_employmentCovariate not traced
cov_extraversionCovariate not traced
cov_genderCovariate not traced
cov_negative_treatmentCovariate not traced
cov_social_media_hoursCovariate not traced
cov_sports_participationCovariate not traced
cov_video_frequencyCovariate not traced

What item codes and covariate values stand for is in the source’s codebook, file_downloaded.

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("li_2026_empathy")
# Python
pip install irw

import irw
df = irw.fetch("li_2026_empathy")

How to cite

@misc{https://doi.org/10.17632/sjyrmwbcbx,
  doi = {10.17632/SJYRMWBCBX},
  url = {https://data.mendeley.com/datasets/sjyrmwbcbx},
  author = {LI, MINGYUAN},
  keywords = {Sports Psychology Methodological Issues},
  title = {Compensatory Online Aggressive Behavior Is Associated With Psychological Distress Through Emotional Venting and Negative Affect Duration, Moderated by Empathy},
  publisher = {Mendeley Data},
  year = {2026}
}

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