11,676 responses from 162 respondents to 44 items.
One of 2 tables from the same source; this one is the 47 table. The others are listed under Related tables.
| Description | Math game (active control group) in an RCT |
|---|---|
| Reference | https://peerj.com/articles/15499/ |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/4p8hz/?view_only= |
| Responses | 11,676 |
|---|---|
| Respondents | 162 |
| Items | 44 |
| Response categories | 2 |
| Responses per respondent | 72.074 |
| Responses per item | 265.364 |
| Density | 1.638 |
| Longitudinal | TRUE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Early (<6y), Child (6-12y) |
| sample | Educational |
| construct type | Cognitive/educational |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, il_hte_46_47.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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
cluster_id | IRW standard The group a focal unit is nested in — classroom, teacher, school. | idClass |
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | not traced |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | not traced |
rt | IRW standard Response time. | trialRTs |
treat | IRW standard Treatment group assignment in experimental studies. | Cond |
wave | IRW standard Longitudinal wave indicator. | not traced |
| Respondent covariates | ||
cov_age | Covariate | T1.AgeF |
cov_bilingual | Covariate | Lang |
cov_country | Covariate | Country |
cov_male | Covariate | Sex |
cov_risk | Covariate | FamRisk |
What item codes and covariate values stand for is in the codebook released with the source data.
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_47")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_47")
@misc{https://doi.org/10.17605/osf.io/4p8hz,
doi = {10.17605/OSF.IO/4P8HZ},
url = {https://osf.io/4p8hz/},
author = {Glatz, Toivo},
keywords = {Game-based learning, GraphoGame, Dyslexia, Randomized intervention},
language = {en},
title = {Open Data of a cluster-randomized trial of GraphoGame-NL in Groningen, The Netherlands and Ghent, Belgium},
publisher = {Open Science Framework},
year = {2023},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v39.0 |