Partisan registration of faculty in flagship colleges
Bibliographic Data
| ID | 4097523 |
|---|---|
| Authors | Mitchell Langbert (0000-0001-6999-6422, Brooklyn College, CUNY, New York, USA, corresponding author), Sean Stevens (0000-0003-3522-1412, Foundation for Individual Rights in Education), Sean T Stevens (0000-0002-4175-1893, Foundation for Individual Rights in Education) |
| Year | 2022 |
| Volume | 47 |
| Issue | 8 |
| Pages | 1750-1760 |
| Publication date | 2022-08-03 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Studies in Higher Education (JOURNAL) |
| Journal identifiers | ISSN: 0307-5079 • E-ISSN: 1470-174X |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/03075079.2021.1957815 |
| OpenAlex | W3183141072 |
| Language | EN |
| Citations received | 11 |
| References cited | 22 |
This is a study of 12,372 professors in 116 colleges that are the four top US News-ranked colleges in each of 30 states that collect political registration data. We devised the sample to highlight variation in registration arising from individual, college-level, and state-level characteristics. We find an overall Democratic-to-Republican registration ratio of 8.5:1, but age, gender, field, region, and religious affiliation modify the ratios of Democrats to Republicans. This is the first application of logistical modeling to archival faculty registration data. The logistical models mostly confirm the univariate findings but reveal that state- and college-level dummy variables retain their significance when individual, field, and college rank are controlled. Organizational cultures of academic institutions and state political cultures along with better-understood influences of personal and institutional characteristics may influence the propensity of colleges to engage in or deviate from preponderately Democratic hiring
Democracy · Higher education · Multivariate statistics · Political science · Politics · Public relations · Sociology · Statistics · Univariate · Academic Freedom and Politics · American History and Culture · Computer Science · Law · Psychology · Public Administration · Race, History, and American Society
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| Unique citing works | 11 |
|---|---|
| Citations per year | 1,83 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 11 |