19,954 responses from 1,244 respondents to 11 items.
One of 2 tables from the same source; this one measures political knowledge. The others are listed under Related tables.
| 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 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, gilbert_86through87.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 | ||
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). | code |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
treat | IRW standard Treatment group assignment in experimental studies. | made in the build script |
wave | IRW standard Longitudinal wave indicator. | w |
| Respondent covariates | ||
cov_age | Covariate | age_screen |
cov_asian | Covariate | race_1 |
cov_black | Covariate | race_2 |
cov_educ | Covariate | made in the build script |
cov_hispanic | Covariate | race_3 |
cov_male | Covariate | made in the build script |
cov_middle_eastern | Covariate | race_4 |
cov_multiracial | Covariate | race_7 |
cov_native | Covariate | race_5 |
cov_white | Covariate | race_6 |
What item codes and covariate values stand for is in the source’s codebook, Codebooks.txt.
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_87")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_87")
@article{Trexler_2023, title={The Minimal Effects of Making Local News Free: Evidence from a Field Experiment}, url={http://dx.doi.org/10.31219/osf.io/8x46u}, DOI={10.31219/osf.io/8x46u}, publisher={Center for Open Science}, author={Trexler, Andrew}, year={2023}, month=apr }
| IRW version | v557 |
|---|---|
| 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 v40.0 |