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. 2018 Sep 7;6(3):42. doi: 10.3390/jintelligence6030042

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© 2018 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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Bifactor(S-1) model and its extensions to criterion variables. (a) Bifactor(S-1) model without criterion variables, (b) bifactor(S-1) model with correlating criterion variables (grades), and (c) multiple latent regression bifactor(S-1) model. The factors of the extended models depicted refer to the empirical application. G: general factor, S_k: specific factors; NS-S: specific factor number series, AN-S: specific factor verbal analogies, UN-S: specific factor unfolding. E_ik: measurement error variables, E_G1/E_G2: residuals, λ: loading parameters, β: regression coefficients, i: indicator, k: facet.

Bifactor(S-1) model and its extensions to criterion variables. (a) Bifactor(S-1) model without criterion variables, (b) bifactor(S-1) model with correlating criterion variables (grades), and (c) multiple latent regression bifactor(S-1) model. The factors of the extended models depicted refer to the empirical application. G: general factor, S_k: specific factors; NS-S: specific factor number series, AN-S: specific factor verbal analogies, UN-S: specific factor unfolding. E_ik: measurement error variables, E_G1/E_G2: residuals, λ: loading parameters, β: regression coefficients, i: indicator, k: facet.