busch_2022_course_alleviate

15,275 responses from 1,175 respondents to 13 items.

About this table

Description13-item binary (0/1) checklist of online science-course aspects that ALLEVIATE undergraduate depression symptoms
ReferenceBusch CA, Mohammed TF, Nadile EM, Cooper KM (2022) Aspects of online college science courses that alleviate and exacerbate undergraduate depression. PLoS ONE.
DOI10.1371/journal.pone.0269201
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0269201.s002

Size and shape

Responses15,275
Respondents1,175
Items13
Response categories2
Responses per respondent13
Responses per item1,175
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.

InstrumentAspects of online college science courses that alleviate depression: select-all-that-apply checklist (survey question Q105)
Mean words per item7.846
Mean characters per item48.462
Mean characters per response23
Flesch-Kincaid grade level8.525

Columns

cov_depression_severitycov_divisioncov_financially_stablecov_gendercov_generation_statuscov_gpacov_lgbtqcov_racecov_stem_majoriditemresp

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("busch_2022_course_alleviate")
# Python
pip install irw

import irw
df = irw.fetch("busch_2022_course_alleviate")

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