17,364 responses from 2,712 respondents to 4 items.
| Description | Literacy in an RCT |
|---|---|
| Reference | https://riseprogramme.org/sites/default/files/inline-files/Rudasingwa_Improving_Reading_Proficiency_ECE_Liberia.pdf Sebele, Michael; McManus, Jeffery; Rudasingwa, Mico, 2023, "Replication Data for: Improving reading proficiency in early childhood education classrooms, Evidence from Liberia", https://doi.org/10.7910/DVN/ZSRO4X, Harvard Dataverse, V1, UNF:6:9noRP6CDtDIYblAyUBX+7A== [fileUNF] |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ZSRO4X |
| Responses | 17,364 |
|---|---|
| Respondents | 2,712 |
| Items | 4 |
| Response categories | 2 |
| Responses per respondent | 6.403 |
| Responses per item | 4,341 |
| Density | 1.601 |
| Longitudinal | TRUE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Child (6-12y), Adolescent (12-18y) |
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Constructed Response |
| primary language(s) | eng |
| construct name | Reading assessment |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Literacy in an RCT |
|---|---|
| Mean words per item | 30.250 |
| Mean characters per item | 145.500 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | 1.108 |
block_idcluster_idcov_agecov_maleiditemresptottreatwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_56")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_56")
| 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 |