1,251 responses from 417 respondents to 3 items.
| Description | Microplastics awareness and concern, 3 binary items (heard of microplastics; concern for health; concern for the environment), Romanian respondents. 1,251 responses from 417 respondents on 3 items. |
|---|---|
| Reference | Pop V, Ozunu A, Petrescu DC, Stan AD, Petrescu-Mag RM (2023). The influence of media narratives on microplastics risk perception. PeerJ, 11, e16338. https://doi.org/10.7717/peerj.16338 |
| DOI | 10.7717/peerj.16338 |
| Licence | CC BY 4.0 |
| Source data | https://europepmc.org/article/PMC/PMC10625762 |
| Responses | 1,251 |
|---|---|
| Respondents | 417 |
| Items | 3 |
| Response categories | 2 |
| Responses per respondent | 3 |
| Responses per item | 417 |
| Density | 1 |
| Longitudinal | FALSE |
| measurement tool | Survey/questionnaire |
|---|---|
| item format | Likert Scale/selected response |
| primary language(s) | rum |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Microplastics awareness and risk-perception survey (Pop et al., 2023) -- awareness and concern questions |
|---|---|
| Mean words per item | 10 |
| Mean characters per item | 55.667 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | 4.043 |
cov_agecov_genderiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("pop_2023_mp_concern")
# Python
pip install irw
import irw
df = irw.fetch("pop_2023_mp_concern")
@article{Pop_2023, title={The influence of media narratives on microplastics risk perception}, volume={11}, ISSN={2167-8359}, url={http://dx.doi.org/10.7717/peerj.16338}, DOI={10.7717/peerj.16338}, journal={PeerJ}, publisher={PeerJ}, author={Pop, Valeria and Ozunu, Alexandru and Petrescu, Dacinia Crina and Stan, Adrian-Daniel and Petrescu-Mag, Ruxandra Malina}, year={2023}, month=Nov, pages={e16338} }
| IRW version | v407 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v3.2 |
| Redivis dataset DOI | 10.57761/yvkw-nj32 |
| Manifest pin for this IRW version | v3.2 |
| Metadata source | irw_meta v24.0 |