1,837,594 responses from 3,230 respondents to 1,355 items.
| Description | Oral reading fluency in an RCT |
|---|---|
| Reference | Mohohlwane, N., Taylor, S., Cilliers, J., & Fleisch, B. (2023). Reading Skills Transfer Best from Home Language to a Second Language: Policy Lessons from Two Field Experiments in South Africa. Journal of Research on Educational Effectiveness, 1-24. Cilliers, Jacobus, 2023, "Replication Data for: Reading skills transfer best from home language to a second language: Policy lessons from two field experiments in South Africa", https://doi.org/10.7910/DVN/RSUADW, Harvard Dataverse, V1, UNF:6:l9QaDnpzAdVSS50zf+HCUA== [fileUNF] |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/RSUADW |
| Responses | 1,837,594 |
|---|---|
| Respondents | 3,230 |
| Items | 1,355 |
| Response categories | 2 |
| Responses per respondent | 568.915 |
| Responses per item | 1356.158 |
| Density | 0.420 |
| Longitudinal | TRUE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Early (<6y), Child (6-12y) |
| sample | Educational |
| construct type | Cognitive/educational, Developmental |
| measurement tool | Survey/questionnaire |
| item format | Mixed |
| construct name | Reading skills transfer best from home language to a second language: Policy lessons from two field experiments in South Africa |
block_idcluster_idcov_agecov_homelang_zulucov_maleiditemrespstd_baselinetreatwave
This table is larger than Redivis serves without a login, so download it with one of the packages below or while signed in to Redivis.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_41")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_41")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |