Andrew Camilleri

Mr. Andrew Camilleri


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 October 2022 in Behavioral Sciences
Verified
Journal Article
Open access
PDF file
ACAndrew Camilleri
Andrew Camilleri
JFJoseph R. Ferrari
Joseph R. Ferrari
VRVITTORIA ROMOLI
VITTORIA ROMOLI
PCPaola Cardinali
Paola Cardinali
LMLaura Migliorini
Laura Migliorini
Psychological home is an understudied concept within community psychology, especially focused on migrants. Previous literature on psychological home found a positive relationship with well-being and resilience in general populations and migrants. Studying psychological home in migrants may provide important tools to buffer various stresses associated with migration. The present study explored the relationship between psychological home and demographic factors, including dwelling type and situation between migrants (n = 132) and Italian citizens’ population (n = 76). Results offer theoretical reasons explaining the differences in the meaning of home between migrant and non-immigrant populations.

12 October 2023 in International Journal of Intercultural Relations
Verified
Journal Article
Closed access
ACAndrew Camilleri
Andrew Camilleri
JFJoseph R. Ferrari
Joseph R. Ferrari
VRVITTORIA ROMOLI
VITTORIA ROMOLI
PCPaola Cardinali
Paola Cardinali
LMLaura Migliorini
Laura Migliorini

2 August 2024 in Global Journal of Community Psychology Practice
Verified
Journal Article
Open access
PDF file
ACAndrew Camilleri
Andrew Camilleri
JFJoseph R. Ferrari
Joseph R. Ferrari
The present study combined Ajzen Theory of Planned Behavior (Ajzen, 1991) and Schwartz’s Value Theory (1992) with socio-demographic factors to analyze their impact on intention to recycle. The variables were classified into two categories, namely individual level determinants and contextual level determinants and utilized a hierarchical analysis to determine whether greater predictive power was obtained when combining individual level predictors (personal values, perceived behavioral control and attitude) with contextual level predictors (subjective norms and demographics). Our findings indicate that socio-demographics, personal values, perceived behavioral control and attitude all predict recycling behavior with significantly greater predictive power obtained when combining individual level and community level predictors of recycling behavior. Implications for community psychology are discussed.