25,310 responses from 1,188 respondents to 18 items.
| Description | Woodcock–Johnson Tests of Achievement Science subtest |
|---|---|
| Reference | Cabell, S. Q., Kim, J. S., White, T. G., Gale, C. J., Edwards, A. A., Hwang, H., ... & Raines, R. M. (2024). Impact of a content-rich literacy curriculum on kindergarteners’ vocabulary, listening comprehension, and content knowledge. Journal of Educational Psychology. |
| DOI | 10.1037/edu0000916 |
| Licence | ODC-By |
| Source data | https://ldbase.org/datasets/de4bf144-39ed-430c-862d-201009d3d33e |
| Responses | 25,310 |
|---|---|
| Respondents | 1,188 |
| Items | 18 |
| Response categories | 2 |
| Responses per respondent | 21.305 |
| Responses per item | 1406.111 |
| Density | 1.184 |
| Longitudinal | TRUE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Child (6-12y) |
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Woodcock–Johnson Tests of Achievement Science subtest |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Woodcock–Johnson Tests of Achievement Science subtest |
|---|---|
| Mean words per item | 1.167 |
| Mean characters per item | 7 |
| Flesch-Kincaid grade level | 10.690 |
cluster_idcov_gradecov_malecov_teacheriditemresptreatwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_81")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_81")
| 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 |