2,500 responses from 500 respondents to 5 items.
| Description | TAM behavioral-intention scale, EFL primary teachers, 5 items, 1-5, N=500 |
|---|---|
| Reference | Wang, Y., et al. (2026). Exploring EFL primary school teachers' behavioral intention towards digital game-based learning. PLOS ONE. |
| DOI | 10.1371/journal.pone.0346229 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0346229 |
| Responses | 2,500 |
|---|---|
| Respondents | 500 |
| Items | 5 |
| Response categories | 5 |
| Responses per respondent | 5 |
| Responses per item | 500 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
cov_agecov_gendercov_pedagogical_tenureiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("wang_2026_behavioral_intention")
# Python
pip install irw
import irw
df = irw.fetch("wang_2026_behavioral_intention")
| 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 |