基于因子和聚类分析的统计学专业学生成绩综合评价

Comprehensive Evaluation of Students'Performance in Statistics:Based on Factor Analysis and Cluster Analysis

通过对郑州师范学院2016级统计学专业38名学生26门考试成绩进行因子分析和聚类分析,根据分析结果,提出影响成绩的统计专业能力,数学计算能力,调查应用能力,背诵记忆能力,思想认识能力,哲理能力6个公因子,根据因子得分利用K-均值聚类法将学生分为6类,并客观分析每类学生的特征,有针对性的对学校设计课程安排,教师教学辅导,学生能力发展提供科学依据。

Based on the factor analysis and cluster analysis of the performance of 26 examinations of 38 students majoring in Statistics in 2016 of Zhengzhou Normal University,this paper puts forward six common factors that affect the performance:statistical professional ability,mathematical calculation ability,investigation application ability,memorization ability,ideological cognition ability and philosophical ability.According to the factor scores,the students are divided into six categories by K-means clustering method and the characteristics of each type of students objectively are analyzed,targeted to the school design curriculum,teachers teaching guidance,students'ability development to provide scientific basis.