Proportion Explained Component Variance in Second-Order Scales: A Note on a Latent Variable Modeling Approach.

A procedure for evaluation of the proportion explained component variance by the underlying trait in behavioral scales with second-order structure is outlined. The resulting index of accounted for variance over all scale components is a useful and informative complement to the conventional omega-hierarchical coefficient as well as the proportion of explained component correlation. A point and interval estimation method is described for the discussed index, which utilizes a confirmatory factor analysis approach within the latent variable modeling methodology. The procedure can be used with widely available software and is illustrated on data.

• Publication year

  2025

• Venue

  Educational and Psychological Measurement

• Publication date

  2025-08-23

• Fields of study

  Medicine, Education, Psychology

• Identifiers
  DOI 10.1177/00131644251350536PMID 40881844PMCID PMC12374956
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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