Data · dataset · 2022
Mapping Risk Perception in Lithuania: Spatial and Socio-Psychological Dimensions, September - October 2020
Listed in LiDA
The purpose of the study: to investigate the attitudes of Lithuanian population about the most important threats to Lithuania as a country, different municipalities and respondents personally.
Description
Most important questions: respondents were asked what is the most important threat to Lithuania and them personally. Further, respondents were asked to identify level of threat posed by each threat provided on a list (COVID-19 or other similar pandemic, crime rates, rising food prices, etc.; a total of 30 threats) to the place, where they and their families live and / or work.
Next, the survey asked which three of these threats are most important for Lithuania and for municipality where respondents live. Respondents were also asked which five of these threats had negative effect on them personally in the past 5 years. Further, respondents were asked to assess various aspects related to environmental, social, economic, technological, and geopolitical threats: how much respondents feel aware of these threats (problems), how much they and their families feel ready to overcome these threats, and how much the municipality in which they live is ready to manage these threats.
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Respondents' trust in the municipality where they live and / or work, as well as trust in other people, was also evaluated. Survey also asked how much respondents feel close to the place where they live, their municipality and Lithuania. At the end of the survey, respondents were asked to indicate three main sources of information (out of 8 presented, with a self-completion category) about the threats investigated in the survey.
Social and demographic characteristics: age, sex, education, occupation, marital status, children under 18 living in the household, average monthly income per family member, county, type of place of residence, time of living in the place of residence, geographical coordinates of the place of residence.
Links
Where it is published
- Dataverse dataset page lida.dataverse.lt/dataset.xhtml?persistentId=hdl%3A21.12137%2FQ0YILI ↗
landing page · from lida dataverse lt
- Persistent identifier hdl.handle.net/21.12137/Q0YILI ↗
DOI / persistent id · from lida dataverse lt
Catalogue records · 1
- Dataverse API lida.dataverse.lt/api/datasets/:persistentId/?persistentId=hdl%3A21.12137%2FQ0YI… ↗
metadata API · from lida dataverse lt
Topics
- Stated by source
- Social Sciences
- From keywords
- Earth & Environmental Science · Economics & Finance · Social Science
- Inferred from text
- Human geography 72%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| LiDA | hdl:21.12137/Q0YILI | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4406 | enrichment · lida dataverse lt | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[field].dataverse_subject:social-sciences | source · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 | /subjects |
| concepts[field].local:field:economics-finance | mapping · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 | /subjects |
| created_date | source · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 | |
| description | source · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 | /description |
| publication_date | source · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 | |
| title | source · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 | /name |
| updated_date | source · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 | |
| version_label | source · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 |