Open Access
Review Essay: Election Predictions: Theory and Social Science
Author(s) -
Glenn H. Utter,
James M. Vanderleeuw
Publication year - 1991
Publication title -
american review of politics
Language(s) - English
Resource type - Journals
eISSN - 2374-779X
pISSN - 2374-7781
DOI - 10.15763/issn.2374-7781.1991.12.0.114-129
Subject(s) - construct (python library) , foundation (evidence) , criticism , politics , political science , presidential system , presidential election , epistemology , positive economics , computer science , law , philosophy , economics , programming language
An important concern for political scientists is the extent to which the discipline has progressed as a science. Political science has based its claim to being a science on its ability to construct models that predict as well as explain political phenomena. We examine the role that philosophers of science have given to prediction in science generally, and then note examples from the history of science that demonstrate a varied role for prediction in differing sciences. A review of the literature on predicting congressional and presidential election outcomes indicates the impressive success of predictive models. Nonetheless, such models are often open to the criticism that they lack a firm theoretical foundation.