842 responses from 73 respondents to 16 items.
| Description | PUGGS pilot study 2: 16 true/false genomics-knowledge items, scored correct/incorrect per answer key, N=73 |
|---|---|
| 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.s006 |
| Responses | 842 |
|---|---|
| Respondents | 73 |
| Items | 16 |
| Response categories | 2 |
| Responses per respondent | 11.534 |
| Responses per item | 52.625 |
| Density | 0.721 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Test |
| 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 and Attitudes towards Genetics and Genomics (PUGGS) questionnaire, Section 4: Knowledge about modern genetics and genomics (second pilot / final version) |
|---|---|
| Mean words per item | 1 |
| Mean characters per response | NaN |
cov_age_groupcov_field_of_studycov_gendercov_genetics_experiencecov_religion_influenceiditemresp
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_pilot2_genom_know")
# Python
pip install irw
import irw
df = irw.fetch("carver_2017_puggs_pilot2_genom_know")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |