Problem importance across time and space
Updating the “Most Important Problem Dataset
Bibliographic Data
| ID | 6435124 |
|---|---|
| Authors | Tevfik Murat Yildirim (0000-0001-7120-6020, University of Stavanger), Laron K Williams (0009-0009-6584-5534, University of Missouri), Laron Williams |
| Year | 2024 |
| Volume | 35 |
| Issue | 4 |
| Pages | 517-532 |
| Publication date | 2024-04-22 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Elections Public Opinion & Parties (JOURNAL) |
| Journal identifiers | ISSN: 1368-9886 • E-ISSN: 1745-7297 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/17457289.2024.2337424 |
| OpenAlex | W4394993564 |
| Language | EN |
| Citations received | 3 |
| References cited | 7 |
This article introduces the second release of the Most Important Problem Dataset (MIPD) – a publicly available dataset that codes all available responses to the most important problem question in American public opinion. In the article, we first describe a number of innovations in the new release of the dataset and then demonstrate its usefulness through illustrative cases. In the new MIPD, we switch from providing a single code for the entire response to the various quasi-responses contained in the response, added information on the state in which the interview took place, and subcategories that include – when relevant – information on the preferred levels of policy. These improvements allow for more fine-grained categories and facilitate more accurate inferences at the individual- and aggregate-level. We also extended the time frame through 2020. The new MIPD codes responses from over 850 surveys of more than a million Americans from 1939–2020 into 110 issue categories
Mathematical optimization · Physics · Spacetime · Computer Science · Evaluation and Performance Assessment · Mathematics · Qualitative Comparative Analysis Research
| Unique citing works | 3 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |