45,000 responses from 300 respondents to 50 items.
| Description | 50-item DREEM educational-environment scale, health profession students, 3 waves (precovid/covid/postcovid) |
|---|---|
| Reference | Agarwal et al. (2023). Navigating post COVID-19 education: an investigative study on students' attitude and perception of their new normal learning environment. PeerJ. |
| DOI | 10.7717/peerj.16184 |
| Licence | CC BY 4.0 |
| Source data | https://europepmc.org/article/PMC/PMC10621590 |
| Responses | 45,000 |
|---|---|
| Respondents | 300 |
| Items | 50 |
| Response categories | 5 |
| Responses per respondent | 150 |
| Responses per item | 900 |
| Density | 3 |
| Longitudinal | TRUE |
| sample | Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, agarwal_2023_dreem.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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW 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 |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
wave | IRW standard Longitudinal wave indicator. | made in the build script |
What item codes and covariate values stand for is in the codebook released with the source 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("agarwal_2023_dreem")
# Python
pip install irw
import irw
df = irw.fetch("agarwal_2023_dreem")
@article{Agarwal_2023, title={Navigating post COVID-19 education: an investigative study on students’ attitude and perception of their new normal learning environment}, volume={11}, ISSN={2167-8359}, url={http://dx.doi.org/10.7717/peerj.16184}, DOI={10.7717/peerj.16184}, journal={PeerJ}, publisher={PeerJ}, author={Agarwal, Anshoo and Subramaniam, Geetha and Khattak, Osama and Begum, GulamSaidunnisa and Taha, Afaf and Bayomy, Naglaa Ahmed and Bawadekji, Abdulhakim and Makhdoom, Amin Khalid and Alshammari, Maali Subhi and Chaudhary, Farooq Ahmad}, year={2023}, month=Oct, pages={e16184} }
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v13.0 |
| Redivis dataset DOI | 10.57761/w8zx-td92 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v43.0 |