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Logistic Regression: For the Identification of Socio- Economic Variables that Influence on the Academic Performance of Students of Basic and Secondary Education in the Area of Mathematics

机译:Logistic回归:用于识别影响数学领域基础和中学教育学生学习成绩的社会经​​济变量

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Objective: To identify the socio-economic variables that affect the academic performance of students in Basic and Secondary Education in the Area of Mathematics, by classifying the students among the groups of the Students Who Approve the Area of Mathematics and the Students Who Do Not Approve the Area of Mathematics, using a Logistic Regression Model, as a Multivariate discriminate Technique. Methodology/Statistical Analysis: The data were obtained with the application of a questionnaire to a sample of students, among the 6th and 11th grades, of two Educational Institutions Simon Araujo and Pre-Universidad Estudiantilin the city of Sincelejo. Two groups were previously defined: Students Who Approve the Area of Mathematics and Students Who Do Not Approve the Area of Mathematics. We calculated the probabilities that a student has to belong to the group of “Students Who Approve the Area of Mathematics”. With this result, the socioeconomic characteristics of “Students Who Approve the Area of Mathematics” or “Students Who Do Not Approve the Area of Mathematics” were identified. Findings: The results showed that at the institution educative Simon Araujo, the greater the student’s age, the probability of passing the Mathematics Area decreases. However, it increases according to the educational level reached by their parents. At the Institution Educative Pre-Universidad Estudiantil, the probability that a student has to pass the Mathematics Area is higher when he or she belongs to a complete or incomplete nuclear family. Meanwhile, if it belongs to an incomplete extended family, the lowest probability is recorded. Applications: Once the socioeconomic variables are found, for which the probability of approving the Mathematics Area is low, teachers should identify those students who have these socioeconomic characteristics, to design and execute an improvement plan aiming at these students, in a way that prevents them from repeating the subject.
机译:目的:通过对批准数学领域的学生和不批准数学领域的学生进行分类,找出影响数学基础和中学教育学生学习成绩的社会经​​济变量使用Logistic回归模型将数学领域作为一种多元判别技术。方法论/统计分析:数据是通过对两个Since Araujo教育机构和Sincelejo市Estudiantilin预科教育机构六年级和十一年级学生的问卷调查表获得的。先前定义了两个组:批准数学领域的学生和不批准数学领域的学生。我们计算了学生必须属于“批准数学领域的学生”组的概率。结果,确定了“批准数学领域的学生”或“不批准数学领域的学生”的社会经济特征。研究结果:结果显示,在教育机构西蒙·阿劳霍(Simon Araujo)的学生年龄越大,通过数学领域的机率降低。但是,随着父母的受教育程度而增加。在Institudative Educational Universidad Estudiantil,当学生属于完整或不完整的核心家庭时,其通过数学领域的可能性更高。同时,如果它属于一个不完整的大家庭,则记录的可能性最低。应用:一旦找到了可以批准数学领域的可能性很小的社会经济变量,教师应找出具有这些社会经济特征的学生,设计并执行针对这些学生的改进计划,以防止他们陷入困境。从重复主题。

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