otaki_2022_dental_adaptability

72 responses from 18 respondents to 4 items.

About this table

DescriptionSelf-reported adaptability scale, postgraduate dental learners/instructors, 4 items, N=18
ReferenceOtaki, F., et al. (2022). Self-reported adaptability among postgraduate dental learners and their instructors: Accelerated change induced by COVID-19. PLOS ONE.
DOI10.1371/journal.pone.0270420
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0270420

Size and shape

Responses72
Respondents18
Items4
Response categories3
Responses per respondent4
Responses per item18
Density1
LongitudinalFALSE

Classification

sampleWorkplace
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng

Item text

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

InstrumentTailor-made self-reported adaptability survey (quantitative segment)
Mean words per item18.750
Mean characters per item112.500
Mean characters per response8.667
Flesch-Kincaid grade level10.917

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, otaki_2022_dental_adaptability.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).ID
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script

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("otaki_2022_dental_adaptability")
# Python
pip install irw

import irw
df = irw.fetch("otaki_2022_dental_adaptability")

How to cite

@article{Otaki_2022, title={Self-reported adaptability among postgraduate dental learners and their instructors: Accelerated change induced by COVID-19}, volume={17}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0270420}, DOI={10.1371/journal.pone.0270420}, number={7}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Otaki, Farah and Amir-Rad, Fatemeh and Al-Halabi, Manal and Baqain, Zaid and Zary, Nabil}, editor={Ammar, Nour}, year={2022}, month=July, pages={e0270420} }

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_3 v14.0
Redivis dataset DOI10.57761/rkkt-p907
Manifest pin for this IRW versionv14.0
Metadata sourceirw_meta v44.0