6,497 responses from 449 respondents to 11 items.
One of 2 tables from the same source; this one is the 50 table. The others are listed under Related tables.
| Description | Parenting beliefs in an RCT |
|---|---|
| Reference | Luo, R., Emmers, D., Warrinnier, N., Rozelle, S., & Sylvia, S. (2019). Using community health workers to deliver a scalable integrated parenting program in rural China: A cluster-randomized controlled trial. Social Science & Medicine, 239, 112545. Sylvia, Sean, 2019, "Replication Data for: "Using community health workers to deliver a scalable integrated parenting program in rural China: A cluster-randomized controlled trial"", https://doi.org/10.7910/DVN/XBGUUL, Harvard Dataverse, V1, UNF:6:td3g6/8ll+JxfvV+pem3lA== [fileUNF] |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/XBGUUL |
| Responses | 6,497 |
|---|---|
| Respondents | 449 |
| Items | 11 |
| Response categories | 2 |
| Responses per respondent | 14.470 |
| Responses per item | 590.636 |
| Density | 1.315 |
| Longitudinal | TRUE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Early (<6y) |
| sample | Clinical |
| construct type | Developmental |
| measurement tool | Observational rating |
| item format | Mixed |
| construct name | Replication Data for: "Using community health workers to deliver a scalable integrated parenting program in rural China: A cluster-randomized controlled trial" |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Parenting beliefs in an RCT |
|---|---|
| Mean words per item | 12.182 |
| Mean characters per item | 75.091 |
| Flesch-Kincaid grade level | 8.475 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, il_hte_50_51.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. | villid |
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 |
treat | IRW standard Treatment group assignment in experimental studies. | treatment |
wave | IRW standard Longitudinal wave indicator. | not traced |
| Respondent covariates | ||
cov_child_age | Covariate | agemonth |
cov_firstborn | Covariate | ch_firstborn |
cov_height_for_age_z | Covariate | haz_bl |
cov_premature | Covariate | ch_premature |
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_50")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_50")
@misc{https://doi.org/10.7910/dvn/xbguul,
doi = {10.7910/DVN/XBGUUL},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/XBGUUL},
author = {Sylvia, Sean and {Renfu Luo} and Emmers, Dorien and Warriennier, Nele and Rozelle, Scott},
keywords = {Medicine, Health and Life Sciences, Social Sciences},
title = {Replication Data for: "Using community health workers to deliver a scalable integrated parenting program in rural China: A cluster-randomized controlled trial"},
publisher = {Harvard Dataverse},
year = {2019}
}
| 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 |