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Proportion Explained Component Variance in Second-Order Scales: A Note on a Latent Variable Modeling Approach
Tenko Raykov1, Christine DiStefano2, Yusuf Ransome3
1Michigan State University, East Lansing, MI, USA.
Abstract:
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.
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