anh_2026_ai_adoption
2,448 responses from 306 respondents to 8 items.
About this table
| Description | 8-item Artificial-Intelligence-enabled finance adoption scale (1-5 Likert) from a survey on financial well-being predictors |
|---|
| Reference | Anh NQ (2026) An integrated model of financial socialization, technology, and financial capability in predicting financial well-being. PLoS One. |
|---|
| DOI | 10.1371/journal.pone.0340002 |
|---|
| Licence | CC BY 4.0 |
|---|
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0340002.s001 |
|---|
Size and shape
| Responses | 2,448 |
|---|
| Respondents | 306 |
|---|
| Items | 8 |
|---|
| Response categories | 5 |
|---|
| Responses per respondent | 8 |
|---|
| Responses per item | 306 |
|---|
| Density | 1 |
|---|
| Longitudinal | FALSE |
|---|
Classification
| sample | Internet-based |
|---|
| measurement tool | Survey/questionnaire |
|---|
| item format | Likert Scale/selected response |
|---|
| primary language(s) | vie |
|---|
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Artificial intelligence (AI) use scale |
|---|
| Mean words per item | 1 |
|---|
| Mean characters per item | 2 |
|---|
| Mean characters per response | 7.400 |
|---|
| Flesch-Kincaid grade level | -3.400 |
|---|
Columns
cov_agecov_areacov_educationcov_gendercov_incomecov_occupationiditemresp
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("anh_2026_ai_adoption")
# Python
pip install irw
import irw
df = irw.fetch("anh_2026_ai_adoption")
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 |
|---|