lee_2019_academic_motivation_scale

16,525 responses from 591 respondents to 28 items.

About this table

DescriptionAcademic Motivation of Incoming Freshmen (2019). IRW table lee_2019_academic_motivation_scale: 591 respondents x 28 items, 16525 responses.
ReferenceLee, B. (2019). Academic Motivation of Incoming Freshmen (2019). Mendeley Data, V1.
LicenceCC BY 4.0
Source datahttps://data.mendeley.com/datasets/hg4x8cn7zb

Size and shape

Responses16,525
Respondents591
Items28
Response categories7
Responses per respondent27.961
Responses per item590.179
Density0.999
LongitudinalFALSE

Classification

sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, lee_2019_academic_motivation_scale.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_departmentCovariate 1 = E · 2 = M · 3 = A · 4 = N · 5 = F · 6 = K · 7 = D · 8 = SDept
cov_genderCovariate 1 = Male · 2 = FemaleGender
cov_nationalityCovariate 1 = 日 · 2 = 外Nationality
cov_proficiencyCovariate 1 = a1 · 2 = a2 · 3 = b1 · 4 = b2Proficiency

Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled 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("lee_2019_academic_motivation_scale")
# Python
pip install irw

import irw
df = irw.fetch("lee_2019_academic_motivation_scale")

How to cite

@misc{https://doi.org/10.17632/hg4x8cn7zb,
  doi = {10.17632/HG4X8CN7ZB},
  url = {https://data.mendeley.com/datasets/hg4x8cn7zb},
  author = {Lee, Bradford},
  keywords = {Teaching, Motivation},
  title = {Academic Motivation of Incoming Freshmen (2019)},
  publisher = {Mendeley},
  year = {2019}
}

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse_5 v8.2
Redivis dataset DOI10.57761/29n9-8y27
Manifest pin for this IRW versionv8.2
Metadata sourceirw_meta v40.0