APS

APS Virtual Poster Showcase · 2020

OMEGA: A Computational Macro for Reliability Estimation and Scale Exploration

Virtual · June 2020

Poster Sessions · Methodology

  • Andrew Hayes
    The Ohio State University
  • Jacob Coutts
    The Ohio State University

Abstract

OMEGA is an easy-to-use computational tool for SPSS and SAS that estimates the reliability of data generated from multi-item measurement scales. In just one line of code, OMEGA obtains McDonald's Omega (among other things) and provides researchers a way to abandon Cronbach's alpha as the predominant measure of reliability.

Statistics and Methodology