agarwal_2023_dreem

45,000 responses from 300 respondents to 50 items.

About this table

Description50-item DREEM educational-environment scale, health profession students, 3 waves (precovid/covid/postcovid)
ReferenceAgarwal et al. (2023). Navigating post COVID-19 education: an investigative study on students' attitude and perception of their new normal learning environment. PeerJ.
DOI10.7717/peerj.16184
LicenceCC BY 4.0
Source datahttps://europepmc.org/article/PMC/PMC10621590

Size and shape

Responses45,000
Respondents300
Items50
Response categories5
Responses per respondent150
Responses per item900
Density3
LongitudinalTRUE

Classification

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

Columns

iditemrespwave

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("agarwal_2023_dreem")
# Python
pip install irw

import irw
df = irw.fetch("agarwal_2023_dreem")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_4 v7.0
Redivis dataset DOI10.57761/cpj5-vm97
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0