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Data · dataset · 2007

Replication data for: A Simple Multivariate Test for Asymmetric Hypotheses

Listed in Harvard Dataverse

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.

Description

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.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Sociology 73%
Provenance · 1 source records, 7 field assertions
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Harvard Dataversedoi:10.7910/DVN/XUCOMA12 d agoJSON v1
FieldAssertionExtractorEvidence
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descriptionsource · Harvard Dataverseconnector:dataverse@1.0.0/description
publication_datesource · Harvard Dataverseconnector:dataverse@1.0.0
titlesource · Harvard Dataverseconnector:dataverse@1.0.0/name
updated_datesource · Harvard Dataverseconnector:dataverse@1.0.0
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