carver_2017_puggs_pilot1_genom_know

2,652 responses from 205 respondents to 18 items.

About this table

DescriptionPUGGS pilot study 1: agreement with 18 true/false-keyed genomics-understanding statements (1-4 Likert), N=205
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

Responses2,652
Respondents205
Items18
Response categories4
Responses per respondent12.937
Responses per item147.333
Density0.719
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 3: Principles of genomics
Mean words per item1
Mean characters per item2
Mean characters per response11
Flesch-Kincaid grade level-3.400

Columns

cov_age_groupcov_field_of_studycov_gendercov_genetics_experiencecov_religion_influenceiditemresp

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_genom_know")
# Python
pip install irw

import irw
df = irw.fetch("carver_2017_puggs_pilot1_genom_know")

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