11,622 responses from 503 respondents to 35 items.
| Description | Raven's matrices |
|---|---|
| Reference | De Boeck, P., & Partchev, I. (2012). IRTrees: Tree-based item response models of the GLMM family. Journal of Statistical Software, 48, 1-28. |
| DOI | 10.18637/jss.v048.c01 |
| Licence | GPL-3.0 |
| Source data | https://www.jstatsoft.org/article/view/v048c01 |
| Responses | 11,622 |
|---|---|
| Respondents | 503 |
| Items | 35 |
| Response categories | 2 |
| Responses per respondent | 23.105 |
| Responses per item | 332.057 |
| Density | 0.660 |
| Longitudinal | FALSE |
| construct name | IRTrees: Tree-Based Item Response Models of the GLMM Family |
|---|
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ravens_deboeck2012")
# Python
pip install irw
import irw
df = irw.fetch("ravens_deboeck2012")
| 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 |