19,954 responses from 1,244 respondents to 11 items.
| Description | political knowledge |
|---|---|
| Reference | Trexler, Andrew, 2025, "Replication Data for: "The Minimal Effects of Making Local News Free: Evidence from a Field Experiment"", https://doi.org/10.7910/DVN/NWKSHA, Harvard Dataverse, V1, UNF:6:A5Mj0NI8CIQ9vOTFJjRjNw== [fileUNF] Trexler, A. (2023, April 18). The Minimal Effects of Making Local News Free: Evidence from a Field Experiment. https://doi.org/10.31219/osf.io/8x46u |
| DOI | 10.31219/osf.io/8x46u |
| Licence | CC BY 4.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/NWKSHA |
| Responses | 19,954 |
|---|---|
| Respondents | 1,244 |
| Items | 11 |
| Response categories | 2 |
| Responses per respondent | 16.040 |
| Responses per item | 1,814 |
| Density | 1.458 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| primary language(s) | no access to the osf page |
| construct name | political knowledge |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Mean words per item | 11.408 |
|---|---|
| Mean characters per item | 63.697 |
| Mean characters per response | 11.618 |
| Flesch-Kincaid grade level | 6.864 |
cov_agecov_asiancov_blackcov_educcov_hispaniccov_malecov_middle_easterncov_multiracialcov_nativecov_whiteiditemresptreatwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_87")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_87")
| 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 |