Data · dataset · 2024
Presidential Approval Joe Biden (Jan 2021-Aug 2023)
Listed in Teesside University Research Data Repository
My research is based on Cavari's (2019) model which proposes that issue priorities moderates the association between policy performance and presidential approval.
Description
This dataset was collected from The Economist/YouGov Poll weekly series survey data from January 2021 through August 2023 (N = 134 surveys). As the nature of this survey data is aggregate, I modified Cavari's model by changing the moderator variable 'issue priorities' into 'issue salience' which by the original author's definition is aggregated issue priorities.
My main independent variable 'policy performance' was focused on two issues: the economy and climate change. To test this model, I processed the raw data and employed a multivariate regression analysis using IBM SPSS Statistics version 24.0.
Links
Where it is published
- DOI doi.org/10.17632/czmzyk98f7.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Political science · Social Science
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/czmzyk98f7.1 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4408 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Political Science'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |