decamp_2022_online_discussion

1,403 responses from 117 respondents to 12 items.

About this table

Description12-item self-report scale of online discussion-facilitation behaviors (1-5 Likert frequency), from a survey of N=117 college instructors.
ReferenceDeCamp W, Horvitz B, Garza Mitchell R, Kowalske M, Singleton C (2022) Development of a self-report instrument for measuring online teaching practices and discussion facilitation. PLoS ONE.
DOI10.1371/journal.pone.0275880
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0275880.s002

Size and shape

Responses1,403
Respondents117
Items12
Response categories5
Responses per respondent11.991
Responses per item116.917
Density0.999
LongitudinalFALSE

Classification

sampleWorkplace
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.

InstrumentOnline Teaching Practices Instrument (DeCamp et al., 2022): discussion facilitation contributions
Mean words per item12.083
Mean characters per item87.167
Mean characters per response6.200
Flesch-Kincaid grade level13.536

Columns

cov_contingentcov_femalecov_num_studentscov_racial_minoritycov_tenure_trackcov_times_taughtcov_years_onlinecov_years_teachingiditemresp

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("decamp_2022_online_discussion")
# Python
pip install irw

import irw
df = irw.fetch("decamp_2022_online_discussion")

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