2,263,206 responses from 102,873 respondents to 11 items.
| Description | COVID symptons in an RCT |
|---|---|
| Reference | https://doi.org/10.1126/science.abi9069 |
| DOI | 10.1126/science.abi9069 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/5703876 |
| Responses | 2,263,206 |
|---|---|
| Respondents | 102,873 |
| Items | 11 |
| Response categories | 2 |
| Responses per respondent | 22 |
| Responses per item | 205,746 |
| Density | 2 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Clinical |
| construct type | Physical health/functioning |
| measurement tool | Observational rating |
| item format | Mixed |
| construct name | Impact of Community Masking on COVID-19: A Cluster-Randomized Trial in Bangladesh |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | COVID symptons in an RCT |
|---|---|
| Mean words per item | 3 |
| Mean characters per item | 21.727 |
| Flesch-Kincaid grade level | 36.090 |
block_idcluster_idcov_household_sizeiditemresptreatwave
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_52")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_52")
| 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 |