Using the Hybrid Two-Step estimation approach for the identification of second-order latent variable models

Enrico Ciavolino and Mariangela Nitti

Journal of Applied Statistics, 2013, vol. 40, issue 3, 508-526

Abstract: The aim of this paper is to define a new approach, called Hybrid Two-Step, to estimate the parameters of a second-order latent variable (LV) model in the case of formative relationships between the first-order and the second-order LVs. In this respect, we introduce the two main approaches to the estimation of second-order constructs through the partial least squares-path modelling: the so-called Repeated Indicators approach and the Two-Step approach. Some criticisms of these methodologies are highlighted and a solution to the issue of the identification of formative second-order constructs is suggested through the adoption of a Hybrid Two-Step approach. A Monte Carlo simulation study aimed at comparing the approach proposed with the traditional ones was performed. Finally, a case study about the passenger satisfaction is presented to show the implementation of the method and to give some comparative empirical results.

Date: 2013
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Citations: View citations in EconPapers (20)

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DOI: 10.1080/02664763.2012.745837

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