Nonparametric combination (NPC): A framework for testing elaborate theories

Devin Caughey, Allan Dafoe, Jason Seawright

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Social scientists are commonly advised to deduce and test all observable implications of their theories. We describe a principled framework for testing such "elaborate" theories: nonparametric combination. Nonparametric combination (NPC) assesses the joint probability of observing the theoretically predicted pattern of results under the sharp null of no effects. NPC accounts for the dependence among the component tests without relying on modeling assumptions or asymptotic approximations. Multiple-testing corrections are also easily implemented with NPC. As we demonstrate with four applications, NPC leverages theoretical knowledge into greater statistical power, which is particularly valuable for studies with strong research designs but small sample sizes. We implement these methods in a new R package, NPC.

Original languageEnglish (US)
Pages (from-to)688-701
Number of pages14
JournalJournal of Politics
Volume79
Issue number2
DOIs
StatePublished - Apr 2017

ASJC Scopus subject areas

  • Sociology and Political Science

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