4,416 responses from 736 respondents to 6 items.
| Description | PCA scale, 6 items, 1-7, Chinese consumers of AI services. 736 respondents x 6 items = 4416 responses. |
|---|---|
| Reference | Xu, J., Tang, X., & Chang, E.-C. (2023). Working with AI: The impact of organizational intelligent service [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/C51SE3 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/C51SE3 |
| Responses | 4,416 |
|---|---|
| Respondents | 736 |
| Items | 6 |
| Response categories | 7 |
| Responses per respondent | 6 |
| Responses per item | 736 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Workplace |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
cov_agecov_ai_experiencecov_educationcov_gendercov_incomecov_studycov_years_experienceiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("xu_2023_pca")
# Python
pip install irw
import irw
df = irw.fetch("xu_2023_pca")
| 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 |