1,721,039 research outputs found
Variabili strutturali e comportamenti socio-economici: metodi demografici per analisi comparative
I metodi di standardizzazione permettono di neutralizzare l'effetto di fattori di possibile distorsione sul confronto, ad esempio, di mercati simili per dimensione ma di diversa composizione socio-demografica, per analizzare le diverse propensioni all'acquisto o al consumo di un bene o servizio
Reti di relazioni e comportamento individuale: l’approccio della social network analysis
Working Paper n. 71, Dip.to Di Sc. Econ. e Statistiche, Università di Triest
I licheni appartenenti ai generi Cladonia e Stereocaulon in provincia di Sondrio (Lombardia, Italia settentrionale)
I modelli statistici nell'analisi di rete: evoluzione e utilizzo
In questo contributo è presentata una sintetica rassegna di due classi di modelli statistici - modelli multilevel e modelli ERG per dati relazionali – e dei punti di contatto che si possono instaurare qualora l’obiettivo di analisi sia all’esame di più strutture a rete con le medesime caratteristiche o la rilevazione dei legami relazionali è riferita solo ad un gruppo parziale di individui che descrivono il loro insieme di relazioni (reti ego-centrate) con un certo numero di alters
Multilevel analysis in social research: an application of a cross-classified model
The multilevel approach can be a fruitful methodological framework in which to formulate the micro-macro relationships existing between individuals and their contexts. Usually, place of residence is taken as proxy for context. But individuals can be classified at the same level in more than one way. For example, not only may place of residence be relevant, but birthplace, household or working relations may also be taken into account. Contextual effects can be better identified if multiple classifications are simultaneously considered. In this sense, data do not have a purely hierarchical structure but a cross-classified one, and become very important to establish whether the resulting structure affects the covariance structure of data. In this paper, some critical issues arising from application of multilevel modelling are discussed, and multilevel cross-classified models are proposed as more flexible tools to study contextual effects. A multilevel cross-classified model is specified to evaluate simultaneously the effects of women's place of birth and women's current place of residence on the choice of bearing a second child by Italian women in the mid-1990s. © Springer-Verlag 2002
Psychopathy in a sample of mentally ill women ascertained in the Italian court and considered socially dangerous|Psicopatia in un campione di donne con infermità mentale accertata in sede giudiziaria italiana e ritenute socialmente pericolose
In this retrospective observational study, we aimed at investigating the presence and degree of psychopathy as well as its possible association with clinical characteristics in a sample of women detained in the Italian residence for the execution of security measure (REMS) of Castiglione delle Stiviere (Mantova, Italy). The 50 recruited women had been judged to be lacking criminal responsibility or having substantially diminished responsibility and socially dangerous. A PCL-R total score cut-off > 25 was used to distinguish between patients with or without psychopathy. The analysis of the data highlighted significant associations between psychopathy and borderline personality disorder with comorbid substance abuse, crimes of theft or personal injury. Those patients who were detained due to homicide or attempted homicide and suffered from schizo-phrenia spectrum disorders showed lower PCL-R scores than others. © 2022 Author(s)
Potential and Effective Support Networks of Young Italian Adults
International literature on individual behavior has shown the importance of the network of relationships binding individuals to the people who are close to them in everyday life. Family and other role relations are important sources of emotional and instrumental support, as well as social companionship. For the Italian scenario, the 2003 Generations and Gender Survey offers some challenges for constructing ego-centered support networks based on reasonable assumptions of the frequency of contacts and residential proximity of respondents with kin, friends and neighbors. Focusing on young Italian adults aged 18–34 years who are single or have a partner, we define two kinds of support networks—the potential support ego network and the effective support family network—with the aim of analyzing the effects of network characteristics (size and composition) on the probability of receiving help. Our findings show that couples received
more support and more often than singles. Although singles’ potential support networks were more characterized by no family ties than the ones of partners, the availability of a ‘‘comprehensive’’ network or a network not ‘‘encapsulated’’ only in the family increased the probability of receiving help in both groups. Moreover, gender differences provide evidence of distinct behavior between partners in activating their network for (family) support
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