Assessing the Candidate Preference Function
Bibliographic Data
| ID | 6232181 |
|---|---|
| Authors | G A Snider (corresponding author) |
| Year | 1979 |
| Volume | 23 |
| Issue | 4 |
| Pages | 732 |
| Publication date | 1979-11-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | American Journal of Political Science (JOURNAL) |
| Journal identifiers | ISSN: 0092-5853 • E-ISSN: 1540-5907 |
| Publisher | JSTOR (PUBLISHER) |
| DOI | 10.2307/2110804 |
| OpenAlex | W2331845444 |
| Language | EN |
| Citations received | 3 |
| References cited | 4 |
Electoral algorithms require two functions: a social welfare function (SWF) for the determination of collective preference order from individual preference orders, and a candidate preference function (CPF) which specifies the relation between an individual's preferences and his candidate evaluations. Considerable attention has been paid in recent years to the acceptability of various alternate SWFs. Consideration of the nature of the CPF has been largely ignored primarily due to the common assumption that individual utility is either unmeasurable or interpersonally incomparable. Utilizing psychophysical scaling and validation procedures this paper establishes (a) that interpersonally comparable measures of candidate evaluation (utility) may be developed, and (b) that the CPF specifies a power relation between candidate preferences and candidate evaluation
Data mining · Economics · Function (biology · Microeconomics · Order (exchange · Preference · Preference relation · Relation (database · Computer Science · Economic and Environmental Valuation · Psychology · Social Psychology
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,08 |
| Citation span | 1987 - 1993 (7) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |