APS

29th APS Annual Convention · 2017

Direction Dependence Analysis: A Framework to Test the Direction of Effect in Linear Models with Implementation in Spss

Boston, MA · May 2017

Poster Session · Methodology

  • Xintong Li
    University of Missouri
  • Wolfgang Wiedermann
    University of Missouri

Abstract

Direction Dependence Analysis (DDA) is introduced which enables researchers to test the direction of effects in linear models (e.g., x → y versus y → x) using observational data. An Empirical example is provided to illustrate the application of DDA with three SPSS macros in multiple regression modeling.

Psychometrics

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