Events and Meetings of Italian Statistical Society, Statistics and Demography: the Legacy of Corrado Gini

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Higher order construct PLS-PM for Social Composite Indicators
Rosanna Cataldo, Maria Gabriella Grassia, Natale Carlo Lauro, Marina Marino

Last modified: 2015-09-05

Abstract


Many social phenomena are complex and difficult to measure and to evaluate. Complexity implies multidimensionality and high level of abstraction.

The purpose of this study is to present and compare three main approaches to higher order construct PLS-Path Modelling presented in literature: Repeated indicators, Two-step and Hybrid Approach. Empirical case on Italian Social Cohesion and its result are provided in order to show the methodology and check the reliability of the approaches at issue, choosing the most appropriate among them for social composite indicators.

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