51,828 responses from 2,433 respondents to 12 items.
One of 6 tables from the same source; this one measures Home environment: Family Care Indicators (FCI) - Play Subscale. The others are listed under Related tables.
| Description | 1. Home environment: Family Care Indicators (FCI) - Play Subscale |
|---|---|
| Reference | Arteaga, I., de Barros, A., & Ganimian, A. J. (2025). The Challenges of Scaling up Effective Child-Rearing Practices Using Technology in Developing Settings: Experimental Evidence From India. Journal of Research on Educational Effectiveness, 1-19. |
| DOI | 10.1080/19345747.2025.2450318 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/14278007 |
| Responses | 51,828 |
|---|---|
| Respondents | 2,433 |
| Items | 12 |
| Response categories | 2 |
| Responses per respondent | 21.302 |
| Responses per item | 4,319 |
| Density | 1.775 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Program-based, Targeted/specific |
| construct type | Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | hin |
| construct name | Home environment: Family Care Indicators (FCI) - Play Subscale |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | 1. Home environment: Family Care Indicators (FCI) - Play Subscale |
|---|---|
| Mean words per item | 6.167 |
| Mean characters per item | 36.417 |
| Mean characters per response | 2.500 |
| Flesch-Kincaid grade level | 4.402 |
This codebook is reconstructed by the IRW from the IRW data standard. 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 | ||
block_id | IRW 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 |
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. | not traced |
resp | IRW standard Response value. | not traced |
treat | IRW standard Treatment group assignment in experimental studies. | not traced |
wave | IRW standard Longitudinal wave indicator. | not traced |
| Respondent covariates | ||
cov_child_age | Covariate | not traced |
cov_child_disability | Covariate | not traced |
cov_child_female | Covariate | not traced |
cov_mother_age | Covariate | not traced |
cov_mother_educ | Covariate | not traced |
cov_mother_n_children | Covariate | not traced |
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_88")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_88")
@article{Arteaga_2025, title={The Challenges of Scaling up Effective Child-Rearing Practices Using Technology in Developing Settings: Experimental Evidence From India}, ISSN={1934-5739}, url={http://dx.doi.org/10.1080/19345747.2025.2450318}, DOI={10.1080/19345747.2025.2450318}, journal={Journal of Research on Educational Effectiveness}, publisher={Informa UK Limited}, author={Arteaga, Irma and de Barros, Andreas and Ganimian, Alejandro J.}, year={2025}, month=mar, pages={1–19} }
| IRW version | v566 |
|---|---|
| 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 v43.0 |