li_2024_mas

30,784 responses from 592 respondents to 52 items.

About this table

DescriptionChinese Metacognitive Awareness Inventory (52 items, 1-5; knowledge and regulation of cognition subscales) for 592 Chinese nursing undergraduates, both random halves (EFA/CFA) of the validation sample.
ReferenceLi, S., Xu, J., Jia, X., Zhao, Y., Liu, X., & Wang, Y. (2024). Translation and psychometric validation of the Chinese version of the metacognitive awareness scale among nursing students. Frontiers in Psychology, 15, 1354810. https://doi.org/10.3389/fpsyg.2024.1354810
DOI10.3389/fpsyg.2024.1354810
LicenceCC BY 4.0
Source datahttps://frontiersin.figshare.com/articles/dataset/Table_2_Translation_and_psychometric_validation_of_the_Chinese_version_of_the_metacognitive_awareness_scale_among_nursing_students_xls/25838518

Size and shape

Responses30,784
Respondents592
Items52
Response categories5
Responses per respondent52
Responses per item592
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational, General/non-specific
construct typeCognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi
construct nameMetacognitive awareness (MAI, Chinese version)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, li_2024_mas.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_ageCovariate Age
cov_genderCovariate Gender
cov_groupCovariate group
cov_yearCovariate grade

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("li_2024_mas")
# Python
pip install irw

import irw
df = irw.fetch("li_2024_mas")

How to cite

@article{Li_2024, title={Translation and psychometric validation of the Chinese version of the metacognitive awareness scale among nursing students}, volume={15}, ISSN={1664-1078}, url={http://dx.doi.org/10.3389/fpsyg.2024.1354810}, DOI={10.3389/fpsyg.2024.1354810}, journal={Frontiers in Psychology}, publisher={Frontiers Media SA}, author={Li, Shasha and Xu, Jun and Jia, Xuejing and Zhao, Yanjun and Liu, Xiaojing and Wang, Yuecong}, year={2024}, month=May }

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_6 v5.11
Redivis dataset DOI10.57761/qahq-j855
Manifest pin for this IRW versionv5.11
Metadata sourceirw_meta v44.0