Models of voting behavior in survey research
Synthese 76 (1):25 - 48 (1988)
| Abstract | This paper examines two models used in survey research to explain voting behavior. Although the models rely on the same data they make radically different predictions about the political future. Nevertheless, both models may be more or less correct. The models represent interacting systems and it may be impossible to get a super model of the interactions between their elements. In the natural sciences causal relationships between the elements of interacting models can often be ignored. Because voting behavior models describe phenomena that are roughly the same size, the reciprocal relationships between elements of different models severely restrict the predictive power of voting behavior models. Certain analogies, and disanalogies, between the use of models in natural and social science explain why the social sciences cannot predict many of the events they are able to explain. | |||||||||
| Keywords | political attitudes philosophy of social science | |||||||||
| Categories | No categories specified (fix it) | |||||||||
| Options |
|
|||||||||
| PhilPapers Archive |
Upload a copy of this paper Check publisher's policy on self-archival Papers currently archived: 5,679 |
| External links |
|
| Through your library | Configure |
Douglas Hanes & Gin McCollum (2003). Dimensionality and Explanatory Power of Reading Models. Behavioral and Brain Sciences 26 (4):486-487.
Alisa Bokulich (forthcoming). How Scientific Models Can Explain. Synthese:1--13.
Sam S. Rakover (1997). Can Psychology Provide a Coherent Account of Human Behavior? A Proposed Multiexplanation-Model Theory. Behavior and Philosophy 25 (1):43 - 76.
Martijn Meeter, Janneke Jehee & Jaap Murre (2007). Neural Models That Convince: Model Hierarchies and Other Strategies to Bridge the Gap Between Behavior and the Brain. Philosophical Psychology 20 (6):749 – 772.
Fany Yuval (2002). Sophisticated Voting Under the Sequential Voting by Veto. Theory and Decision 53 (4):343-369.
Dennis Krebs (2000). On Levels of Analysis and Theoretical Integration: Models of Social Behavior. Behavioral and Brain Sciences 23 (2):260-261.
Peter E. Midford (2001). Robots Aren't the Only Physical Models. Behavioral and Brain Sciences 24 (6):1069-1070.
Monthly downloads |
Added to index2009-01-28Total downloads6 ( #145,546 of 549,070 )Recent downloads (6 months)1 ( #63,185 of 549,070 )How can I increase my downloads? |

