Item Response Warehouse / Tables / sun_2026_eap_usagesun_2026_eap_usage
7,800 responses from 650 respondents to 12 items.
About this table
Description EAP "Architectural Art English" needs analysis: English usage-scenario importance/frequency block; 12 items 1-5 scale; N=650 Reference Sun R., Chen Z. (2026). Designing the syllabus for the EAP course “Architectural Art English”: A needs and genre analysis-based approach. PLOS ONE. https://doi.org/10.1371/journal.pone.0351750 DOI 10.1371/journal.pone.0351750 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0351750.s002
Size and shape
Responses 7,800 Respondents 650 Items 12 Response categories 5 Responses per respondent 12 Responses per item 650 Density 1 Longitudinal FALSE
Classification
sample Educational, Workplace measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) chi
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
Instrument Architectural Art English EAP needs analysis questionnaire, Section 2: English usage scenarios Mean words per item 7.583 Mean characters per item 54.583 Mean characters per response 14.800 Flesch-Kincaid grade level 10.708
Columns
cov_identity 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("sun_2026_eap_usage")
# Python
pip install irw
import irw
df = irw.fetch("sun_2026_eap_usage")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_3 v7.0 Redivis dataset DOI 10.57761/pqqn-pm43 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_3 v7.0.