1,942 responses from 486 respondents to 4 items.
One of 6 tables from the same source; this one measures Social Justice Concerns. The others are listed under Related tables.
| Description | Attitudes toward Genomics and Precision Medicine (AGPM) social justice concerns ratings |
|---|---|
| Reference | Ella Anghel, María Pineros-Leano, Isabella R. McDonald, Andrew A. Dwyer; Psychometric Properties of a Culturally Adapted Spanish Version of the Attitudes toward Genomics and Precision Medicine Instrument. Public Health Genomics 1 January 2025; 28 (1): 196–204. https://doi.org/10.1159/000546101 |
| DOI | 10.1159/000546101 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/E2L4AP&version=1.0 |
| Responses | 1,942 |
|---|---|
| Respondents | 486 |
| Items | 4 |
| Response categories | 7 |
| Responses per respondent | 3.996 |
| Responses per item | 485.500 |
| Density | 0.999 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based, Targeted/specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng, spa |
| construct name | Social Justice Concerns |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, dwyer_2025_genomics.do. 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). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | `var' |
| Respondent covariates | ||
cov_age | Covariate | age |
cov_education | Covariate | education |
cov_ethnicity | Covariate | ethnicity |
cov_gender | Covariate | gender |
cov_healthlitsubj | Covariate | healthlitsubj |
cov_healthstatus | Covariate | healthstatus |
cov_income | Covariate | income |
cov_job | Covariate | job |
cov_language | Covariate | languagepref |
cov_liveinus | Covariate | liveinus |
cov_popdensity | Covariate | popdensity |
cov_race | Covariate | race |
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("dwyer_2025_genomics_sjc")
# Python
pip install irw
import irw
df = irw.fetch("dwyer_2025_genomics_sjc")
@article{Anghel_2025, title={Psychometric Properties of a Culturally Adapted Spanish Version of the Attitudes toward Genomics and Precision Medicine Instrument}, volume={28}, ISSN={1662-8063}, url={http://dx.doi.org/10.1159/000546101}, DOI={10.1159/000546101}, number={1}, journal={Public Health Genomics}, publisher={S. Karger AG}, author={Anghel, Ella and Pineros-Leano, María and McDonald, Isabella R. and Dwyer, Andrew A.}, year={2025}, month=apr, pages={196–204} }
| IRW version | v569 |
|---|---|
| Redivis dataset | item_response_warehouse v71.0 |
| Redivis dataset DOI | 10.57761/f5n4-k797 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v43.0 |