BifactorIndicesCalculator: Bifactor Model Metrics for Factor and Item Response Analysis

BifactorIndicesCalculator is an R package for computing bifactor model indices, such as explained common variance (ECV) and hierarchical Omega (OmegaH). It is a version of the 'Excel' based 'Bifactor Indices Calculator' by David Dueber, with added features for using output from confirmatory factor analysis or item response model programs. The package's development is linked to a 2017 publication.

Use Cases

• Calculate model-level fit indices like explained common variance (ECV) based on factor analysis output.
• Assess factor reliability using hierarchical Omega (OmegaH) from fitted models.
• Evaluate item-level properties with item explained common variance (I-ECV) metrics.
• Analyze the percentage of uncontaminated correlations (PUC) to understand factor structure purity.

Strengths

• Package is a direct implementation of a published tool (Dueber, 2017) with a known DOI.
• Adds convenience features for integrating with output from several statistical modeling programs.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

David Dueber

Collection Method

Software package implementing a published calculation methodology.