4,704 responses from 942 respondents to 5 items.
| Description | measure of recall in a RCT of a structured supplmental intervention |
|---|---|
| Reference | Mosher, D. M., & Kim, J. S. (2025). Building a science of teaching reading and vocabulary: Experimental effects of structured supplements for a read aloud lesson on third graders’ domain-specific reading comprehension. Scientific Studies of Reading, 29(1), 7–31. https://doi.org/10.1080/10888438.2024.2368145 |
| DOI | 10.1080/10888438.2024.2368145 |
| Licence | CC BY-NC-SA 4.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/LUKGIA |
| Responses | 4,704 |
|---|---|
| Respondents | 942 |
| Items | 5 |
| Response categories | 2 |
| Responses per respondent | 4.994 |
| Responses per item | 940.800 |
| Density | 0.999 |
| Longitudinal | FALSE |
| sample | Educational, Program-based |
|---|---|
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
block_idcluster_idcov_blackcov_malecov_othercov_ses_highcov_ses_lowcov_ses_mediditemrespstd_baselinestd_baseline_mathtreat
Licence: CC BY-NC-SA 4.0 — non-commercial use only; adaptations must be shared under the same licence.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_109")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_109")
| 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 |