FIND DATA: By Journal | Sites   ANALYZE DATA: Help with R | SPSS | Stata | Excel   WHAT'S NEW? US Politics | IR | Law & Courts🎵
   FIND DATA: By Journal | Sites   WHAT'S NEW? US Politics | IR | Law & Courts🎵
WHAT'S NEW? US Politics | IR | Law & Courts🎵
If this link is broken, please report as broken. You can also submit updates (will be reviewed).

Correcting False Positive Rates in Interaction Model Testing

False Positive RateBenjamini HochbergInteraction ModelsBrambor ProcedureMethodology@CPSDataverse
Methodology subfield banner

This corrigendum addresses errors and limitations discovered after the publication of Esarey and Sumner's paper on interaction models.

Correction Overview:

The authors recognized significant issues with their previous work, particularly concerning the overconfidence of the Brambor et al. procedure for separately testing multiple hypotheses.

* The original paper correctly identified this limitation.

* This corrigendum details these errors and introduces a new robust procedure to address them.

Understanding the Problem:

The authors uncovered these issues while developing methods for another unrelated paper, highlighting potential pitfalls in applying established procedures.

* The Brambor et al. procedure may be overly optimistic when testing hypotheses individually.

* Its application is appropriate but limited when testing multiple hypotheses simultaneously.

The Solution:

This update provides a comprehensive description of the limitations related to the Benjamini and Hochberg method for separate hypothesis testing (which was presented in their paper).

* The authors suggest a procedure on pp. 1161–1163 based on this methodology.

* This corrigendum introduces an improved, more robust approach developed during this process.

Revised InteractionTest Software:

The article includes updated methods designed to better handle false positives in interaction model analyses.

Article card for article: Marginal Effects in Interaction Models: Determining and Controlling the False Positive Rate (Corrigendum)
Marginal Effects in Interaction Models: Determining and Controlling the False Positive Rate (Corrigendum) was authored by Justin Esarey and Jane Lawrence Sumner. It was published by Sage in CPS in 2021.
Find on Google Scholar
Find on JSTOR
Find on Sage Journals
Comparative Political Studies
Edit article record marker