gilbert_meta_2

43,480 responses from 2,174 respondents to 20 items.

About this table

DescriptionReading comprehension data from an RCT
ReferenceKim, J. S., Burkhauser, M. A., Relyea, J. E., Gilbert, J. B., Scherer, E., Fitzgerald, J., ... & McIntyre, J. (2023). A longitudinal randomized trial of a sustained content literacy intervention from first to second grade: Transfer effects on students’ reading comprehension. Journal of Educational Psychology, 115(1), 73. James S. Kim; Mary A. Burkhauser; Jackie E. Relyea; Joshua B. Gilbert; Ethan Scherer; Jill Fitzgerald; Douglas Mosher; Joseph McIntyre, 2022, "Replication Data for: A Longitudinal Randomized Trial of a Sustained Content Literacy Intervention from First to Second Grade: Transfer Effects on Students’ Reading Comprehension Outcomes", https://doi.org/10.7910/DVN/LAWFFU, Harvard Dataverse, V2, UNF:6:VATSovKxwaqyJAT6ZzzfBw== [fileUNF]
LicenceCC BY-NC-SA 4.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/LAWFFU

Size and shape

Responses43,480
Respondents2,174
Items20
Response categories2
Responses per respondent20
Responses per item2,174
Density1
LongitudinalFALSE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Child (6-12y)
sampleEducational
construct typeCognitive/educational
measurement toolTest
item formatLikert Scale/selected response
primary language(s)eng
construct nameContent Literacy Intervention and Reading Comprehension in Early Elementary Students

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentReading comprehension data from an RCT
Mean words per item9.050
Mean characters per item54.450
Mean characters per response18.350
Flesch-Kincaid grade level7.264

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, content_literacy_intervention.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).not traced
cluster_idIRW standard The group a focal unit is nested in — classroom, teacher, school.not traced
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.s_q_num
respIRW standard Response value.s_correct
std_baselineIRW standard A standardised pre-treatment score, usually the trial's baseline measure.not traced
treatIRW standard Treatment group assignment in experimental studies.s_itt_consented
Respondent covariates
cov_asian_numCovariate not traced
cov_black_numCovariate not traced
cov_hispanic_numCovariate not traced
cov_homelang_engCovariate not traced
cov_iep_numCovariate not traced
cov_lep_numCovariate not traced
cov_male_numCovariate not traced
cov_ses_lowCovariate not traced
cov_ses_medCovariate not traced
cov_white_numCovariate not traced

What item codes and covariate values stand for is in the codebook released with the source data.

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_2")
# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_2")

How to cite

@misc{https://doi.org/10.7910/dvn/lawffu,
  doi = {10.7910/DVN/LAWFFU},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/LAWFFU},
  author = {S. Kim, James and A. Burkhauser, Mary and E. Relyea, Jackie and B. Gilbert, Joshua and Scherer, Ethan and Fitzgerald, Jill and {Douglas Mosher} and McIntyre, Joseph},
  keywords = {Social Sciences, content literacy intervention, transfer, domain and topic knowledge, reading comprehension, cluster randomized controlled trial},
  title = {Replication Data for: A Longitudinal Randomized Trial of a Sustained Content Literacy Intervention from First to Second Grade: Transfer Effects on Students’ Reading Comprehension Outcomes},
  publisher = {Harvard Dataverse},
  year = {2022}
}

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v43.0