gilbert_meta_76

66,768 responses from 428 respondents to 78 items.

About this table

DescriptionTest of Early Mathematics Ability, third edition, or TEMA-3
ReferenceThai, K. P., Bang, H. J., & Li, L. (2022). Accelerating early math learning with research-based personalized learning games: A cluster randomized controlled trial. Journal of Research on Educational Effectiveness, 15(1), 28-51.
DOI10.1080/19345747.2021.1969710
LicenceCC BY 4.0
Source datahttps://data.mendeley.com/datasets/gf9dc6zxdx/5

Size and shape

Responses66,768
Respondents428
Items78
Response categories2
Responses per respondent156
Responses per item856
Density2
LongitudinalTRUE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Early (<6y)
sampleEducational
construct typeCognitive/educational
measurement toolTest
item formatLikert Scale/selected response
primary language(s)eng
construct nameTest of Early Mathematics Ability, third edition, or TEMA-3

Item text

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

InstrumentTest of Early Mathematics Ability, third edition, or TEMA-3
Mean words per item24.321
Mean characters per item129.218
Flesch-Kincaid grade level3.260

Columns

block_idcluster_idcov_age_wave1cov_age_wave2cov_gradecov_maleiditemresptreatwave

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_76")
# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_76")

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