Alternative Approaches to Higher Order PLS Path Modeling: A Discussion on Methodological Issues and Applications

Rosanna Cataldo (), Maria Gabriella Grassia () and Carlo Natale Lauro ()
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Rosanna Cataldo: University of Naples Federico II, Social Sciences Department
Maria Gabriella Grassia: University of Naples Federico II, Social Sciences Department
Carlo Natale Lauro: University of Naples Federico II, Economics and Statistics Department

Chapter Chapter 9 in Partial Least Squares Path Modeling, 2023, pp 229-266 from Springer

Abstract: Abstract In the context of Partial Least Squares-Path Modeling (PLS-PM), higher-order constructs have enjoyed increasing popularity in the last few years in relation to the investigation of models with a high level of abstraction, particularly in cases where the building of a system of indicators depends on different levels of information. Higher-order constructs in PLS-PM are considered as explicit representations of multidimensional constructsMultidimensional constructs which are related to other constructs at a higher level of abstraction, thereby mediating completely the influence received from, or exercised on, their underlying dimensions. This chapter investigates the status and evolution of research studies on higher-order constructs in PLS-PM and focuses attention on the potentiality of their recent methodological developments, specifically on how they can help researchers in the estimation of complex and multidimensional phenomena. Different approaches will be discussed and compared using a case study within a social context.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-37772-3_9

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DOI: 10.1007/978-3-031-37772-3_9

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