16,800 responses from 210 respondents to 80 items.
| Description | Scores from 217 Norwegian children on the clustered items of the Norwegian adaptation of the Test for Reception of Grammar (TROG-2; Bishop, 2003), across three annual assessments; used in Brinchmann et al. (2019) to study longitudinal vocabulary and grammar development |
|---|---|
| Reference | Brinchmann, E. I., Braeken, J., & Lyster, S.-A. H. (2019). Is there a direct relation between the development of vocabulary and grammar? Developmental Science, 22(1), e12709. https://doi.org/10.1111/desc.12709 |
| DOI | https://doi.org/10.1111/desc.12709 |
| Licence | GPL-2.0 |
| Source data | https://cran.r-project.org/web/packages/mokken |
| Responses | 16,800 |
|---|---|
| Respondents | 210 |
| Items | 80 |
| Response categories | 2 |
| Responses per respondent | 80 |
| Responses per item | 210 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Early (<6y) |
| sample | Educational, General/non-specific |
| construct type | Developmental |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | nob |
| construct name | Test for Reception Of Grammar |
iditemitem_familyresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("trog_brinchmann_2019")
# Python
pip install irw
import irw
df = irw.fetch("trog_brinchmann_2019")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |