Social inclusion is particularly important for first-year international university students, who might be experiencing cultural mismatch at UK universities. A major developmental task of adolescence, including emerging adulthood, is the learning of sociocultural scripts within a particular context, in preparation for a successful transition to adulthood. However, cultural mismatch can occur when the social scripts for one cultural context do not translate into a new cultural context. Because first-year international university students find themselves in new physical settings within a new culture, while adapting to a new independence, inclusion cannot be examined within one dimension. According to sociocultural and social learning theories in educational psychology, the key to improving students' academic and psychosocial adjustment goes beyond addressing individual factors to include intervening upon multiple features of the learning environment.
Multidimensional social inclusion across relational, functional, and physical dimensions, is therefore particularly important for first-year international college students. Although most people think of social inclusion in relational and functional terms, the physical dimension of social inclusion is an important consideration as well. Relational inclusion emphasises belonging, functional inclusion emphasises equity and empowerment, while physical inclusion emphasises environmental factors that by intentional design foster inclusive and equitable interactions. Prior reviews of social inclusion measures revealed that the few social inclusion measures that come close to including all three dimensions were designed as qualitative measures for use in clinical settings. Therefore, there is a need for a reliable and valid quantitative psychometric measure of multidimensional social inclusion for application to educational settings.
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The main aim of this research is to develop an empirically validated psychometric scale measuring multidimensional student inclusion for use with university samples (particularly international students). The measure will then be used across various studies to answer the research questions such as:
Methods will be determined by students based on the specific research question being addressed. Typically, students will either collect new data and apply advanced statistical methods suitable to scale development such as factor analysis (EFA/CFA) and structural equation modelling (SEM) or use secondary data. Experience with experimental methods in social psychology will be an asset. Additionally, the use of mixed methods approaches, especially innovative qualitative approaches such as participatory research methods, is also applicable.