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CANONICAL CORRELATION ANALYSIS OF POVERTY AND LITERACY LEVELS IN EKITI STATE, NIGERIA

机译:尼日利亚埃基蒂州贫困与文盲水平的典型相关分析

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Literacy is seen as antecedent of poverty. This paper has assumed that literacy has a direct influence on poverty level. Poverty is the lack of income necessary to ensure access to a set of basic needs while literacy is the ability to read and write. This paper aims at investigating the extent to which selected poverty related variables correlate with literacy related variables and the pattern of such correlation. The poverty levels was categorized into poverty by expenditure, household size, per capita expenditure while literacy levels was categorized into years of formal education, educational age group. These variables were analyzed using the multivariate analysis technique known as the canonical correlation analysis, first described by Hotelling (1935), which is used in a wide range of disciplines to analyze the relationships between several independent and several dependent variables. Statistica software package was employed in running the analysis. The results reveal that there is a significant positive correlation between the levels of poverty and literacy. In addition, some of the levels of literacy had a significant correlation with that of poverty levels when correlation matrix was employed. The results show that literacy is one of the strong factors that determine poverty.
机译:扫盲被视为贫困的先决条件。本文假设识字率对贫困水平有直接影响。贫困是缺乏确保满足一系列基本需求所需的收入,而读写能力是读写的能力。本文旨在调查与贫困相关的变量与识字相关的变量之间的相关程度以及这种相关的模式。贫困水平按支出,家庭规模,人均支出分类为贫困,而识字水平则分类为正规教育年限,教育年龄组。这些变量使用称为经典相关分析的多元分析技术进行了分析,该技术首先由Hotelling(1935)进行了描述,该技术被广泛用于各种学科中,以分析几个自变量和几个因变量之间的关系。 Statistica软件包用于运行分析。结果表明,贫困水平与识字率之间存在显着的正相关。此外,当采用相关矩阵时,某些识字水平与贫困水平有显着相关。结果表明,识字率是决定贫困的重要因素之一。

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