A simple multivariate test for asymmetric hypotheses

William Roberts Clark, Michael J. Gilligan, Matt Golder

Research output: Contribution to journalArticle

60 Citations (Scopus)

Abstract

In this paper, we argue that claims of necessity and sufficiency involve a type of asymmetric causal claim that is useful in many social scientific contexts. Contrary to some qualitative researchers, we maintain that there is nothing about such asymmetries that should lead scholars to depart from standard social science practice. We take as given that deterministic and monocausal tests are inappropriate in the social world and demonstrate that standard multiplicative interaction models are up to the task of handling asymmetric causal claims in a multivariate, probabilistic manner. We illustrate our argument with examples from the empirical literature linking electoral institutions and party system size.

Original languageEnglish (US)
Pages (from-to)311-331
Number of pages21
JournalPolitical Analysis
Volume14
Issue number3
DOIs
StatePublished - Jun 1 2006

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party system
asymmetry
social science
interaction
literature

All Science Journal Classification (ASJC) codes

  • Sociology and Political Science
  • Political Science and International Relations

Cite this

Clark, William Roberts ; Gilligan, Michael J. ; Golder, Matt. / A simple multivariate test for asymmetric hypotheses. In: Political Analysis. 2006 ; Vol. 14, No. 3. pp. 311-331.
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A simple multivariate test for asymmetric hypotheses. / Clark, William Roberts; Gilligan, Michael J.; Golder, Matt.

In: Political Analysis, Vol. 14, No. 3, 01.06.2006, p. 311-331.

Research output: Contribution to journalArticle

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