stachl_2020_belonging

2,323 responses from 183 respondents to 13 items.

About this table

DescriptionGraduate STEM department sense-of-belonging survey; 13 items 0-4 scale; N=183
ReferenceStachl C., Baranger A. (2020). Sense of belonging within the graduate community of a research-focused STEM department: Quantitative assessment using a visual narrative and item response theory. PLOS ONE. https://doi.org/10.1371/journal.pone.0233431
DOI10.1371/journal.pone.0233431
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0233431.s002

Size and shape

Responses2,323
Respondents183
Items13
Response categories5
Responses per respondent12.694
Responses per item178.692
Density0.976
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.

Instrument2019 Department of Chemistry Sense of Belonging (SB) Survey (graduate student and postdoctoral researcher version)
Mean words per item13.615
Mean characters per item75
Mean characters per response13.400
Flesch-Kincaid grade level5.499

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("stachl_2020_belonging")
# Python
pip install irw

import irw
df = irw.fetch("stachl_2020_belonging")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0