gilbert_meta_109

4,704 responses from 942 respondents to 5 items.

One of 3 tables from the same source; this one is the 109 table. The others are listed under Related tables.

About this table

Descriptionmeasure of recall 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

Responses4,704
Respondents942
Items5
Response categories2
Responses per respondent4.994
Responses per item940.800
Density0.999
LongitudinalFALSE

Classification

sampleEducational, Program-based
measurement toolTest
item formatLikert Scale/selected response
primary language(s)eng

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, gilbert_109through111.R. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
block_idIRW standard The level above cluster_id — in a randomised design, the block or stratum within which assignment was made (treat varies within a block, and clusters nest in blocks).school_id
cluster_idIRW standard The group a focal unit is nested in — classroom, teacher, school.t_id
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).s_id
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
std_baselineIRW standard A standardised pre-treatment score, usually the trial's baseline measure.s_mapread_w_std
treatIRW standard Treatment group assignment in experimental studies.treatment
Respondent covariates
cov_blackCovariate s_black_num
cov_maleCovariate s_male_num
cov_otherCovariate s_other_race_num
cov_ses_highCovariate s_highses_num
cov_ses_lowCovariate s_lowses_num
cov_ses_medCovariate s_medses_num
Other columns
std_baseline_mathFrom source A standardised pre-treatment score, usually the trial's baseline measure.s_mapmath_w_std

What item codes and covariate values stand for is in the source’s README, readme.docx.

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 (both need a free Redivis account; the first call opens a browser to sign in):

# 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")

How to cite

@article{Mosher_2024, title={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}, volume={29}, ISSN={1532-799X}, url={http://dx.doi.org/10.1080/10888438.2024.2368145}, DOI={10.1080/10888438.2024.2368145}, number={1}, journal={Scientific Studies of Reading}, publisher={Informa UK Limited}, author={Mosher, Douglas M. and Kim, James S.}, year={2024}, month=jul, pages={7–31} }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_2 v33.0
Redivis dataset DOI10.57761/6m04-m698
Manifest pin for this IRW versionv33.0
Metadata sourceirw_meta v39.0