期刊
JOURNAL OF APPLIED STATISTICS
卷 40, 期 3, 页码 508-526出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/02664763.2012.745837
关键词
second-order latent variables; partial least squares; path modelling; passenger satisfaction; simulation study
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.
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