rStats.js v1.3.0
    Preparing search index...

    Interface OmegaResult

    Result of omega

    interface OmegaResult {
        alpha: number;
        ECV: number;
        G6: number;
        gloading: number[];
        key: number[];
        messages: string[];
        oblique: number[][];
        omegaGroup: number[][];
        omegaH: number;
        omegaLim: number;
        omegaTot: number;
        orthog: number[][];
        phi?: number[][];
        sl: number[][];
        slNames: string[];
        warnings: string[];
    }
    Index
    alpha: number

    Cronbach's alpha (standardised: of the correlations)

    ECV: number

    Explained common variance of the general factor

    G6: number

    Guttman's lambda 6

    gloading: number[]

    The loadings of the first-order factors on the general factor

    key: number[]

    The item signs (-1 for a flipped item)

    messages: string[]

    The messages R would print (e.g. for two factors), each once.

    oblique: number[][]

    The oblimin pattern (the varimax loadings for one factor)

    omegaGroup: number[][]

    Rows g, F1*, ...; columns total, general, group (NaN for a group with no items)

    omegaH: number

    Omega hierarchical: the share of the total variance due to the general factor

    omegaLim: number

    Omega asymptotic: the general factor's share of the common variance

    omegaTot: number

    Omega total

    orthog: number[][]

    The varimax loadings of the first-order minres solution

    phi?: number[][]

    The factor correlations (absent for one factor)

    sl: number[][]

    The Schmid-Leiman matrix, p rows; columns as slNames

    slNames: string[]

    ["g", "F1*", ..., "h2", "u2", "p2", "com"]

    warnings: string[]

    The warnings R would give (e.g. an ultra-Heywood case, or one factor), each once.