carver_2017_puggs_pilot1_traits

3,877 responses from 206 respondents to 20 items.

One of 8 tables from the same source; this one is the pilot1_traits table. The others are listed under Related tables.

About this table

DescriptionPUGGS pilot study 1: belief in genetic vs environmental influence across 20 traits (1-5 scale), N=206
ReferenceCarver 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
DOI10.1371/journal.pone.0169808
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0169808.s005

Size and shape

Responses3,877
Respondents206
Items20
Response categories5
Responses per respondent18.820
Responses per item193.850
Density0.941
LongitudinalFALSE

Classification

sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)por

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentPublic Understanding and Attitudes towards Genetics and Genomics (PUGGS) Questionnaire, initial version used in the first pilot study — Section 2 Part 1: Table of Traits
Mean words per item1
Mean characters per item2
Mean characters per response59
Flesch-Kincaid grade level-3.400

Codebook

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.

ColumnWhat it isSource column
IRW standard columns
idIRW 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
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_age_groupCovariate Age
cov_field_of_studyCovariate Study
cov_genderCovariate Gender
cov_genetics_experienceCovariate Experience
cov_religion_influenceCovariate Religion
Other columns
itemcov_expected_answerNot documented Covariates invariant to measurement probes (item-level attributes).made in the build script

What item codes and covariate values stand for is in the source’s codebook, S4_Table.docx, S2_Text.docx.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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_traits")
# Python
pip install irw

import irw
df = irw.fetch("carver_2017_puggs_pilot1_traits")

How to cite

@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} }

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse_3 v14.0
Redivis dataset DOI10.57761/rkkt-p907
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v43.0