carver_2017_puggs_pilot1_traits

3,877 responses from 206 respondents to 20 items.

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

Columns

cov_age_groupcov_field_of_studycov_gendercov_genetics_experiencecov_religion_influenceiditemitemcov_expected_answerresp

Get the data

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

Or load it directly in R or Python:

# 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")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0