khoa_2023_teaching_materials

2,704 responses from 676 respondents to 4 items.

One of 5 tables from the same source; this one is the teaching_materials table. The others are listed under Related tables.

About this table

DescriptionThe effectiveness of knowledge management systems in motivation and satisfaction in higher education Institutions: Data from Vietnam. IRW table khoa_2023_teaching_materials: 676 respondents x 4 items, 2704 responses.
ReferenceKhoa, B. (2023). The effectiveness of knowledge management systems in motivation and satisfaction in higher education Institutions: Data from Vietnam. Mendeley Data, V4.
LicenceCC BY 4.0
Source datahttps://data.mendeley.com/datasets/tpgsnk4928

Size and shape

Responses2,704
Respondents676
Items4
Response categories5
Responses per respondent4
Responses per item676
Density1
LongitudinalFALSE

Classification

sampleWorkplace
measurement toolSurvey/questionnaire
primary language(s)vie

Item text

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

InstrumentTeaching Motivation (TEM)
Mean words per item16
Mean characters per item100.750
Mean characters per response9.800
Flesch-Kincaid grade level11.484

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_bandCovariate not traced
cov_education_levelCovariate not traced
cov_genderCovariate not traced
cov_majorCovariate not traced
cov_timepointCovariate 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("khoa_2023_teaching_materials")
# Python
pip install irw

import irw
df = irw.fetch("khoa_2023_teaching_materials")

How to cite

@misc{https://doi.org/10.17632/tpgsnk4928,
  doi = {10.17632/TPGSNK4928},
  url = {https://data.mendeley.com/datasets/tpgsnk4928},
  author = {{Bui Thanh Khoa}},
  title = {The effectiveness of knowledge management systems in motivation and satisfaction in higher education Institutions: Data from Vietnam},
  publisher = {Mendeley},
  year = {2023},
  copyright = {Creative Commons Attribution 4.0 International}
}

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