33,220 responses from 846 respondents to 34 items.
| Description | Woodcock-Johnson picture vocabulary subtest |
|---|---|
| Reference | Hart, S. A., Otaiba, S. A., Connor, C., & Norris, C. U. (2021). Project KIDS Item level Data. LDbase. https://doi.org/10.33009/ldbase.1620837890.bcf8 |
| Licence | CC BY 4.0 |
| Source data | https://ldbase.org/datasets/e092873f-8c70-49de-afb9-61de8ad1d508 |
| Responses | 33,220 |
|---|---|
| Respondents | 846 |
| Items | 34 |
| Response categories | 2 |
| Responses per respondent | 39.267 |
| Responses per item | 977.059 |
| Density | 1.155 |
| Longitudinal | TRUE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Child (6-12y) |
| sample | Educational |
| construct type | Behavioral, Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Woodcock-Johnson picture vocabulary subtest |
iditemrespwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("project_kids_wj_pv_grade")
# Python
pip install irw
import irw
df = irw.fetch("project_kids_wj_pv_grade")
| 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 |