lei_2024_external_motivation

1,255 responses from 251 respondents to 5 items.

One of 4 tables from the same source; this one measures External learning motivation. The others are listed under Related tables.

About this table

DescriptionExternal learning motivation, 5 items, 1-5 (very disagreeable-very agreeable); N = 251 Chinese university students; cov_gender, cov_grade, cov_major, cov_origin, cov_completion_time_s.
ReferenceLei, H., Chen, C., & Luo, L. (2024). The examination of the relationship between learning motivation and learning effectiveness: a mediation model of learning engagement. Humanities and Social Sciences Communications, 11(1), 137. https://doi.org/10.1057/s41599-024-02666-6
DOI10.1057/s41599-024-02666-6
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/MB7OH8

Size and shape

Responses1,255
Respondents251
Items5
Response categories5
Responses per respondent5
Responses per item251
Density1
LongitudinalFALSE

Classification

sampleEducational, General/non-specific
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi
construct nameExternal learning motivation

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_completion_time_sCovariate not traced
cov_genderCovariate not traced
cov_gradeCovariate not traced
cov_majorCovariate not traced
cov_originCovariate 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("lei_2024_external_motivation")
# Python
pip install irw

import irw
df = irw.fetch("lei_2024_external_motivation")

How to cite

@article{Lei_2024, title={The examination of the relationship between learning motivation and learning effectiveness: a mediation model of learning engagement}, volume={11}, ISSN={2662-9992}, url={http://dx.doi.org/10.1057/s41599-024-02666-6}, DOI={10.1057/s41599-024-02666-6}, number={1}, journal={Humanities and Social Sciences Communications}, publisher={Springer Science and Business Media LLC}, author={Lei, Hong and Chen, Chiwei and Luo, Limei}, year={2024}, month=Jan }

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