gilbert_meta_111

11,747 responses from 910 respondents to 13 items.

About this table

Descriptionmeasure of far transfer reading in a RCT of a structured supplmental intervention
ReferenceMosher, 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
DOI10.1080/10888438.2024.2368145
LicenceCC BY-NC-SA 4.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/LUKGIA

Size and shape

Responses11,747
Respondents910
Items13
Response categories2
Responses per respondent12.909
Responses per item903.615
Density0.993
LongitudinalFALSE

Classification

sampleEducational
measurement toolTest
primary language(s)eng

Columns

block_idcluster_idcov_blackcov_malecov_othercov_ses_highcov_ses_lowcov_ses_mediditemrespstd_baselinestd_baseline_mathtreat

Get the data

Licence: CC BY-NC-SA 4.0 — non-commercial use only; adaptations must be shared under the same licence.

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_111")
# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_111")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_2 v19.0
Redivis dataset DOI10.57761/qtx5-4m80
Manifest pin for this IRW versionv19.0
Metadata sourceirw_meta v23.0