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Data · dataset · 2010

Replication data for: Replication with Attention to Numerical Accuracy

Listed in Harvard Dataverse

Numerical issues matter in statistical analysis.

Description

Small errors occur when numbers are translated from paper and pencil into the binary world of computers. Surprisingly, these errors may be propagated and magnified through binary calculations, eventually producing statistical estimates far from the truth.

In this replication and extension article, we look at one method of verifying the accuracy of statistical estimates by running these same data and models on multiple statistical packages. We find that for two published articles, Nagler (1994, American Journal of Political Science 38:230–255) and Alvarez and Brehm (1995, American Journal of Political Science 39:1055–1089), results are dependent on the statistical package used.

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In the course of our replications, we uncover other pitfalls that may prevent accurate replication, and make recommendations to ensure the ability for future researchers to replicate results.

Links

Where it is published

Catalogue records · 1
Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
Harvard Dataversedoi:10.7910/DVN/J2PCGQ15 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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