Analysing change among study abroad students. A novel application of the person-centred approach to alcohol use patterns

Analysing change among study abroad students. A novel application of the person-centred approach to alcohol use patterns
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DOI:
10.1016/j.ijintrel.2021.04.006
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发表时间:
2021-04-19
影响因子:
2.8
通讯作者:
Marta, Elena
Marta, Elena
中科院分区:
法学2区
文献类型:
--
作者:
Aresi, Giovanni;Sorgente, Angela;Marta, Elena

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这项研究重新分析了国际学生饮酒的纵向数据,以证明以人为本的统计技术的实用价值,如潜在类别分析(LCA)及其纵向扩展潜在转换分析(LTA)。这些技术提供了新的分析视角,可以揭示类型学(即,特征在于不同谱的亚群)并检查变化(即,转移概率)。然而,这些方法在跨文化研究领域的应用仍然有限。本文介绍了使用LCA和LTA的分步指南。分析表明,如何使用酒精配置文件可以确定,如何跨配置文件的学生从国内到海外的过渡可以检查,并受到学生的动机出国留学和他们的调整,以东道国环境。研究结果证实了在其他人群中发现的饮酒者类型的四类模型对留学生的有效性。然而,研究结果挑战了主流观点,即大多数学生在出国留学期间增加了酒精摄入量,并表明适度饮酒者在出国旅行时转变为重度饮酒的风险最大。使用这些统计技术的跨文化研究专家的影响和建议进行了讨论。
This study re-analysed longitudinal data on international students' alcohol use to demonstrate the practical value of person-centred statistical techniques, such as Latent Class Analysis (LCA) and its longitudinal extension Latent Transition Analysis (LTA). These techniques offer new analytic perspectives, can reveal typologies (i.e., subpopulations characterized by different profiles) and examine change (i.e., transition probabilities) in outcomes of interest. The use of these approaches remains limited in the intercultural research field, however. A step-by-step guide to the use of LCA and LTA is presented. The analyses demonstrate how alcohol use profiles can be identified, how transitions across profiles as students move from home to overseas can be examined and are affected by students' motivation to study abroad and their adjustment to the host environment. The validity for study abroad students of the four-class model of drinker types found in other populations was confirmed. Results, however, challenge the dominant view that most students increase alcohol intake during study abroad experiences, and indicate that moderate drinkers are at greatest risk of transitioning to heavy drinking as they travel abroad. Implications and suggestions for use of these statistical techniques by intercultural research specialists are discussed.