Item Response Warehouse / Tables / otaki_2022_dental_adaptability
otaki_2022_dental_adaptability
72 responses from 18 respondents to 4 items.
About this table
Description Self-reported adaptability scale, postgraduate dental learners/instructors, 4 items, N=18
Reference Otaki, F., et al. (2022). Self-reported adaptability among postgraduate dental learners and their instructors: Accelerated change induced by COVID-19. PLOS ONE.
DOI 10.1371/journal.pone.0270420
Licence CC BY 4.0
Source data https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0270420
Size and shape
Responses 72
Respondents 18
Items 4
Response categories 3
Responses per respondent 4
Responses per item 18
Density 1
Longitudinal FALSE
Classification
sample Workplace
measurement tool Survey/questionnaire
item format Likert 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.
Instrument Tailor-made self-reported adaptability survey (quantitative segment)
Mean words per item 18.750
Mean characters per item 112.500
Mean characters per response 8.667
Flesch-Kincaid grade level 10.917
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 .
What item codes and covariate values stand for is in the codebook released with the source data .
Get the data
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} }
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Version and provenance
IRW version v584
Redivis dataset item_response_warehouse_3 v14.0
Redivis dataset DOI 10.57761/rkkt-p907
Manifest pin for this IRW version v14.0
Metadata source irw_meta v44.0
Part of the Item Response Warehouse , IRW v584. This page describes the table as released in item_response_warehouse_3 v14.0.