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APS

31st APS Annual Convention · 2019

Medyad: A Computational Tool for Mediation Analysis with Distinguishable Dyadic Data

Washington, DC · May 2019

Poster · Methodology

  • Jacob Coutts
    University of Maryland at College Park
  • Andrew Hayes
    The Ohio State University
  • Tao Jiang
    Northwestern University

Abstract

MEDYAD is an easy-to use computational tool for SPSS and SAS developed to simplify mediation analysis with distinguishable dyadic data. In a single line of syntax or through a graphical user interface, MEDYAD estimates model coefficients, actor-, partner-, and actor-partner indirect and direct effects, and contrasts among these effects.

Mathematic

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