Item Response Warehouse / Tables / dong_2024_ccaiqdong_2024_ccaiq
4,316 responses from 332 respondents to 13 items.
About this table
Description Chinese version of CCAIQ-2 measuring academic integrity behaviors (cheating, collusion, complying); N=332, 13 items, 1-6 Likert Reference Dong, X. (2024). Reliability and validity of the Chinese version of the Cross-Cultural Academic Integrity Questionnaire: CCAIQ-2 [Dataset]. Figshare. DOI: 10.6084/m9.figshare.25378894.v1 Licence CC BY 4.0 Source data https://figshare.com/articles/dataset/25378894
Size and shape
Responses 4,316 Respondents 332 Items 13 Response categories 6 Responses per respondent 13 Responses per item 332 Density 1 Longitudinal FALSE
Classification
sample Educational measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) chi
Columns
cov_gender cov_grade cov_major 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("dong_2024_ccaiq")
# Python
pip install irw
import irw
df = irw.fetch("dong_2024_ccaiq")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_2 v19.0 Redivis dataset DOI 10.57761/qtx5-4m80 Manifest pin for this IRW version v19.0 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_2 v19.0.