A Revised Definition for Suppressor Variables: Identification and Interpretation Guide

A methodological paper by Anthony J. Conger, published on the Papers with Code platform. The work presents a revised definition and a guide for identifying and interpreting suppressor variables, a concept in statistical analysis. The dataset likely contains the paper's text and associated code, but specific content details are not provided in the metadata.

Use Cases

• Study methodological approaches to variable interaction in regression models (inferred from domain, verify after download)
• Implement statistical tests for identifying suppressor effects in research data (inferred from domain, verify after download)
• Teach advanced statistical concepts related to correlation and regression analysis (inferred from domain, verify after download)

Strengths

• Published on the Papers with Code platform, which links academic papers with code.
• Authored by a named researcher, Anthony J. Conger.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• License is listed as 'closed', which may restrict use.

Provenance

Source

Papers with Code