3,875 responses from 202 respondents to 20 items.
One of 8 tables from the same source; this one is the pilot1_attitudes table. The others are listed under Related tables.
| Description | PUGGS pilot study 1: attitudes toward gene therapy/genetic testing/personalized medicine (20 items, 1-4 Likert), N=202 |
|---|---|
| Reference | Carver RB, Castera J, Gericke N, Evangelista NAM, El-Hani CN (2017). Young Adults' Belief in Genetic Determinism, and Knowledge of Genes and Environment: Deficit Model vs Constructivist Model of Public Understanding of Science. PLOS ONE. https://doi.org/10.1371/journal.pone.0169808 |
| DOI | 10.1371/journal.pone.0169808 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0169808.s005 |
| Responses | 3,875 |
|---|---|
| Respondents | 202 |
| Items | 20 |
| Response categories | 4 |
| Responses per respondent | 19.183 |
| Responses per item | 193.750 |
| Density | 0.959 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | por |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Public Understanding of Genetics and Genomics Survey (PUGGS), initial version used in the first pilot study — Section 4: Attitudes towards applications of genetics and genomics |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 11 |
| Flesch-Kincaid grade level | -3.400 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, carver_2017_puggs_items.py. 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). | Questionnaire number |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age_group | Covariate | Age |
cov_field_of_study | Covariate | Study |
cov_gender | Covariate | Gender |
cov_genetics_experience | Covariate | Experience |
cov_religion_influence | Covariate | Religion |
What item codes and covariate values stand for is in the source’s codebook, S4_Table.docx, S2_Text.docx.
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("carver_2017_puggs_pilot1_attitudes")
# Python
pip install irw
import irw
df = irw.fetch("carver_2017_puggs_pilot1_attitudes")
@article{Carver_2017, title={Young Adults’ Belief in Genetic Determinism, and Knowledge and Attitudes towards Modern Genetics and Genomics: The PUGGS Questionnaire}, volume={12}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0169808}, DOI={10.1371/journal.pone.0169808}, number={1}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Carver, Rebecca Bruu and Castéra, Jérémy and Gericke, Niklas and Evangelista, Neima Alice Menezes and El-Hani, Charbel N.}, editor={Li, Dongmei}, year={2017}, month=Jan, pages={e0169808} }
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v13.0 |
| Redivis dataset DOI | 10.57761/gpg7-sg87 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v43.0 |