Item Response Warehouse / Tables / butt_2022_institutional_factorsbutt_2022_institutional_factors
4,444 responses from 404 respondents to 11 items.
About this table
Description 11-item Institutional Factors scale (7-point Likert, 1=Strongly Disagree to 7=Strongly Agree), from a survey of N=404 students on online learning during COVID-19. Reference Butt S, Mahmood A, Saleem S (2022) The role of institutional factors and cognitive absorption on students' satisfaction and performance in online learning during COVID 19. PLoS ONE. DOI 10.1371/journal.pone.0269609 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0269609.s003
Size and shape
Responses 4,444 Respondents 404 Items 11 Response categories 7 Responses per respondent 11 Responses per item 404 Density 1 Longitudinal FALSE
Classification
sample Educational measurement tool Survey/questionnaire item format Likert 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.
Instrument Institutional Factors Mean words per item 9.636 Mean characters per item 64.909 Mean characters per response 14.429 Flesch-Kincaid grade level 10.965
Columns
cov_age cov_education cov_gender cov_university id item resp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("butt_2022_institutional_factors")
# Python
pip install irw
import irw
df = irw.fetch("butt_2022_institutional_factors")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_4 v7.0 Redivis dataset DOI 10.57761/cpj5-vm97 Manifest pin for this IRW version v7.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse_4 v7.0.