gilbert_meta_20

24,180 responses from 186 respondents to 93 items.

About this table

DescriptionMath data from students in an RCT
ReferenceJayanthi, M., Gersten, R., Schumacher, R. F., Dimino, J., Smolkowski, K., & Spallone, S. (2021). Improving struggling fifth-grade students’ understanding of fractions: A randomized controlled trial of an intervention that stresses both concepts and procedures. Exceptional Children, 88(1), 81-100. Gersten, Russell; Jayanthi, Madhavi; Dimino, Joseph; Karp, Karen, 2019, "Impact of a Tier 2 Fractions Intervention on 5th Grade At-Risk Students’ Fractions Achievement", https://doi.org/10.7910/DVN/Z4WMFE, Harvard Dataverse, V1, UNF:6:8pMQK/5+cfpvcr4ACTvAmQ== [fileUNF]
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/Z4WMFE

Size and shape

Responses24,180
Respondents186
Items93
Response categories2
Responses per respondent130
Responses per item260
Density1.398
LongitudinalTRUE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Child (6-12y)
sampleEducational
construct typeCognitive/educational, Developmental
measurement toolTest
item formatMixed
construct nameImpact of a Tier 2 Fractions Intervention on 5th Grade At-Risk Students’ Fractions Achievement

Columns

cov_asiancov_blackcov_frlcov_hispaniccov_iepcov_malecov_multicov_whiteiditemresptreatwave

Get the data

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_20")
# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_20")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0