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The assessment of financial aptitude and knowledge in the elderly: The Montreal Assessment of Financial Activities Scale (EMAF-EN).

机译:老年人财务能力和知识的评估:《蒙特利尔金融活动评估量表》(EMAF-EN)。

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摘要

With the increasing age of the population, there is a corresponding increase in dementias and other similarly limiting disorders. An objective assessment tool of when a person is no longer capable to handle his or her own finances could increase the validity and reliability of such determinations. In a society that values individual rights, this would be a valuable asset. Presently, there is only one known assessment tool of competence for managing one's finances designed for the Canadian monetary system and culture, the Montreal Assessment of Financial Activities Scale (EMAF-EN). This study created a sample of the English half of this test. It also investigated differences in EMAF-EN performance due to employment, income, age, education, cognitive well-being, and rating of difficulty of arithmetic and mathematics. Significant differences in EMAF-EN performance were found for education and employment but no other demographic variables. The difference in performance on the EMAF-EN found by years of education indicate that significant differences in performance can be expected by years of education. The statistically significant difference found by employment experiences went contrary to what was expected. Finally, the internal properties of the EMAF-EN and correlations within the EMAF-EN, the indexes of the EMAF-EN, and with the demographic variables used in this study were analyzed to consider internal consistency and redundancy. Few large correlations were found. This indicates the different subtests of the EMAF-EN measure different domains.
机译:随着人口年龄的增长,痴呆症和其他类似的限制性疾病也相应增加。当一个人不再有能力处理自己的财务状况时,一种客观的评估工具可以提高这种确定的有效性和可靠性。在重视个人权利的社会中,这将是一笔宝贵的财富。当前,只有一种已知的能力评估工具可用于管理针对加拿大货币体系和文化的财务管理,即蒙特利尔金融活动评估量表(EMAF-EN)。这项研究创建了该测试的英语一半的样本。它还调查了由于就业,收入,年龄,受教育程度,认知状况以及算术和数学难度等级而导致的EMAF-EN成绩差异。在教育和就业方面,EMAF-EN表现存在显着差异,但没有其他人口统计学变量。受过多年教育的人在EMAF-EN上的表现差异表明,受过多年教育的人在表现上会有显着差异。就业经验发现的统计学上的显着差异与预期相反。最后,分析了EMAF-EN的内部属性以及EMAF-EN中的相关性,EMAF-EN的指标以及本研究中使用的人口统计变量,以考虑内部一致性和冗余性。几乎没有发现大的相关性。这表明EMAF-EN的不同子测试可测量不同的域。

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