Abstract

The current paper aims to present the method of Non-Symmetrical Correspondence Analysis (NSCA) based on Emerson’s orthogonal polynomials, which takes into account, in efficient way, the ordinal structure of the data. The extension of NSCA is the so called Singly Ordered Non-Symmetrical Cor- respondence Analysis version (SONSCA), that, by taking into account the ordinal structure in the ta- ble, improving the interpretation ability of the analysis. The methods was applied to 40 in-depth in- terviews, gathered with people in treatment for their problems with addiction. NSCA and SONSCA are used to evaluate if the classes of age of the subjects interviewed influence the addiction thematic categories that characterize their discourses.The work provides insight on NSCA and SONSCA methods and how they could be applied in the psychological context and in particular to study the dependence between ordinal and categorical variables reported in a contingency table.

Autore Pugliese

• Venuleo Claudia , Ciavolino Enrico

Tutti gli autori

• E. Ciavolino , A. D’Ambra , C. Venuleo , M. Vernai

Titolo volume/Rivista

STATISTICA & APPLICAZIONI

Anno di pubblicazione

2017

ISSN

1824-6672

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

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Numero di citazioni Scopus

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Ultimo Aggiornamento Citazioni

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Settori ERC

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Codici ASJC

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