6,072 responses from 267 respondents to 8 items.
| Description | Team teaching or solo teaching? Evidence from a crossover experiment on the effects of team teaching on student achievement |
|---|---|
| Reference | Klopp, T., Brünken, R., & Stark, R. (2026). Measuring student learning in team teaching: Results from the ESTAFETT project. Teaching and Teacher Education, 155, 104886. https://doi.org/10.1016/j.tate.2026.104886 |
| DOI | 10.1016/j.tate.2026.104886 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/detfc/overview?view_only=17d12502613e41e38c3fe02fe59dff62 |
| Responses | 6,072 |
|---|---|
| Respondents | 267 |
| Items | 8 |
| Response categories | 2 |
| Responses per respondent | 22.742 |
| Responses per item | 759 |
| Density | 2.843 |
| Longitudinal | TRUE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y), Child (6-12y) |
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | dut |
| construct name | Cognitive Learning Outcomes in Science |
block_idcluster_idcov_gradecov_maleiditemresptreatwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_113")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_113")
| 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 |