9,769 responses from 255 respondents to 120 items.
| Description | Online Assessment of Handwriting and Spelling: OAHaS |
|---|---|
| Reference | Inoue, T., Chen, Y., & Ohyanagi, T. (2024, June 19). Assessing Handwriting Skills in a Web Browser: Development and Validation of an Automated Online Test in Japanese Kanji. Retrieved from osf.io/gver2 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/gver2/ |
| Responses | 9,769 |
|---|---|
| Respondents | 255 |
| Items | 120 |
| Response categories | 2 |
| Responses per respondent | 38.310 |
| Responses per item | 81.408 |
| Density | 0.319 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| sample | General/non-specific |
| construct type | Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Constructed Response |
| primary language(s) | jpn |
| construct name | Online Assessment of Handwriting and Spelling (OAHaS) |
iditemresprt
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("KanjiOAHaS_Inoue_2024")
# Python
pip install irw
import irw
df = irw.fetch("KanjiOAHaS_Inoue_2024")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |