28,320 responses from 897 respondents to 78 items.
| Description | WoodCock-Johnson IV |
|---|---|
| Reference | Bailey, C. S., Korucu, İrem, Eveleigh, A., Schnur, G., Costello, L., Tuttle, M., Knox-Lane, T., Cassidy, C., Ondrusek, A., McNaboe, T., Mazhar, A., & Xie, F. (2023). Preschool Social and Emotional Development Study—Connecticut Dataset. LDbase. https://doi.org/10.33009/ldbase.1680213217.8ed0 |
| Licence | CC BY 4.0 |
| Source data | https://ldbase.org/datasets/38d4a723-c167-4908-a250-2cf29a4ff49b |
| Responses | 28,320 |
|---|---|
| Respondents | 897 |
| Items | 78 |
| Response categories | 2 |
| Responses per respondent | 31.572 |
| Responses per item | 363.077 |
| Density | 0.405 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Early (<6y) |
| sample | Educational |
| construct type | Affective/mental health, Cognitive/educational, Developmental |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Woodcock-Johnson IV (WJ-IV): Applied to Early Learning Domains |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Woodcock-Johnson IV |
|---|---|
| Mean words per item | 8.372 |
| Mean characters per item | 42.192 |
| Mean characters per response | 5.321 |
| Flesch-Kincaid grade level | 0.628 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("preschool_sel_wj")
# Python
pip install irw
import irw
df = irw.fetch("preschool_sel_wj")
| 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 |