dai_2025_music_motivation

6,764 responses from 356 respondents to 19 items.

About this table

DescriptionMUSIC Academic Motivation Validation: Chinese Legal English/Translation Context. IRW table dai_2025_music_motivation: 356 respondents x 19 items, 6764 responses.
ReferenceDAI, J.; Xiao, Y. (2025). MUSIC Academic Motivation Validation: Chinese Legal English/Translation Context. Mendeley Data, V1.
LicenceCC BY 4.0
Source datahttps://data.mendeley.com/datasets/hwvsd5zd4d

Size and shape

Responses6,764
Respondents356
Items19
Response categories6
Responses per respondent19
Responses per item356
Density1
LongitudinalFALSE

Classification

sampleEducational
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 and the script that built it, dai_2025_music_motivation.py. 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).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_genderCovariate Gender
cov_gradeCovariate Grade
cov_majorCovariate Major
cov_time_codeCovariate Time

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("dai_2025_music_motivation")
# Python
pip install irw

import irw
df = irw.fetch("dai_2025_music_motivation")

How to cite

@misc{https://doi.org/10.17632/hwvsd5zd4d,
  doi = {10.17632/HWVSD5ZD4D},
  url = {https://data.mendeley.com/datasets/hwvsd5zd4d},
  author = {DAI, JIAJIA and Xiao, Yuxin},
  keywords = {Legal English, Student Motivation},
  title = {MUSIC® Academic Motivation Validation: Chinese Legal English/Translation Context},
  publisher = {Mendeley Data},
  year = {2025}
}

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