reuter_2021_emotions

20,046 responses from 514 respondents to 39 items.

About this table

Description39-item mood/emotion checklist (binary endorsed/not endorsed), longitudinal COVID-19-restrictions health-behavior survey of university students (n=514), USA
ReferenceReuter PR, Forster BL, Kruger BJ (2021). A longitudinal study of the impact of COVID-19 restrictions on students' health behavior, mental health and emotional well-being. PeerJ.
DOI10.7717/peerj.12528
LicenceCC BY 4.0
Source datahttps://europepmc.org/article/PMC/PMC8679900

Size and shape

Responses20,046
Respondents514
Items39
Response categories2
Responses per respondent39
Responses per item514
Density1
LongitudinalFALSE

Classification

sampleEducational
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.

InstrumentStudent Health Behavior and Academic Success survey (COVID-19 version, Appendix 2) - emotional state word check-list
Mean words per item1
Mean characters per item7.590
Mean characters per response2
Flesch-Kincaid grade level12.636

Columns

iditemresp

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("reuter_2021_emotions")
# Python
pip install irw

import irw
df = irw.fetch("reuter_2021_emotions")

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