Your Coefficient Alpha Is Probably Wrong, but Which Coefficient Omega Is Right? A Tutorial on Using R to Obtain Better Reliability Estimates

The paper

Flora (2020). Your Coefficient Alpha Is Probably Wrong, but Which Coefficient Omega Is Right? A Tutorial on Using R to Obtain Better Reliability Estimates. Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245920951747

Measurement quality has recently been highlighted as an important concern for advancing a cumulative psychological science. An implication is that researchers should move beyond mechanistically reporting coefficient alpha toward more carefully assessing the internal structure and reliability of multi-item scales. Yet a researcher may be discouraged upon discovering that a prominent alternative to alpha, namely, coefficient omega, can be calculated in a variety of ways. In this Tutorial, I alleviate this potential confusion by describing alternative forms of omega and providing guidelines for choosing an appropriate omega estimate pertaining to the measurement of a target construct represented with a confirmatory factor analysis model. Several applied examples demonstrate how to compute different forms of omega in R.

Contribution

method critique

Data basis

none

Document

full article

Review stage

peer reviewed

Disciplines

psychometrics, psychology

Access

closed

Existing implementations

Code the authors or the community already shipped. This is what decides how far up the ladder a work can climb — no implementation, no tools.

• cransemToolsGPL-2.0-or-laterby Terrence D. Jorgensen, Sunthud Pornprasertmanit, Alexander M. Schoemann, Yves Rosseelruns here

What it can do

• Omegaomega

  Coefficient omega for the model the items follow, with alpha beside it for comparison.

• Versionsversions

  Report the R and package versions this agent runs, its limits, and its paper.

Provenance

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Machine-readable: paper.jsonld · server.json · agent-card.json

Agent: org.agenticjournal/paper-flora-2020-omega · v0.2.0