In this chapter we show some methodological developments in the PLS-PM, which, recently, are applied to social sciences, to study complex phenomena such as poverty, well-being, sustainability. In particular, developments for the treatment of non metric data and hierarchical data can really help strongly in building Model Based Social Indicators.

PLS-PM: new methodological developments for constructing Model Based Social Indicators

Nicola Tedesco
2020-01-01

Abstract

In this chapter we show some methodological developments in the PLS-PM, which, recently, are applied to social sciences, to study complex phenomena such as poverty, well-being, sustainability. In particular, developments for the treatment of non metric data and hierarchical data can really help strongly in building Model Based Social Indicators.
2020
978-88-386-9734-0
Ordinal and nominal data; Mediator and moderator variables; Unobserved heterogeneity; Hierarchical data
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/292450
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