Average Variance Extracted (AVE)
HR & WorkReliability: statistical estimator3 sample items
About this scale
A composite-convergent-validity index: average of squared standardized loadings on a latent factor. AVE ≥ 0.50 indicates that the factor explains more variance in items than measurement error.
Sample item(s)
“Compute squared standardized loadings”
“Average across items”
“AVE ≥ 0.50 supports convergent validity”
Reliability
Reported internal consistency: statistical estimator. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Foundational AVE / discriminant-validity framework.
Source & citation
Fornell, C., & Larcker, D. F. (1981): Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, Vol. 18, No. 1, pp. 39–50.
Source. Scale details are summarised from the publication cited above. Always consult the original source for the full item set, scoring, and permission to use.
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Need to check the reliability or psychometrics of this scale in your own data? Use the free DrAIStudio research tools:
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