3,680 responses from 736 respondents to 5 items.
| Description | MI scale, 5 items, 1-7, Chinese consumers of AI services. 736 respondents x 5 items = 3680 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 | 3,680 |
|---|---|
| Respondents | 736 |
| Items | 5 |
| Response categories | 7 |
| Responses per respondent | 5 |
| Responses per item | 736 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Workplace |
| measurement tool | Survey/questionnaire |
| 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_mi")
# Python
pip install irw
import irw
df = irw.fetch("xu_2023_mi")
| 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 |