摘要
针对实验成绩计算中存在的不足,将多元统计中的主成分分析用于对学生专业实验成绩进行分析。通过用统计软件进行主成分计算,可得到两个衡量学生实验情况的主成分,称为总成绩因子和实验参与因子;通过对主成分的分析,可以弥补以前实验成绩计算的不足,从而更全面的考查学生实验的实际情况,并针对不同类型的学生采用不同的教学方法和手段,提高实验的实际教学效果。
Because of insufficiency in the experimental result computation, the students experimental scores were analyzed by the principal components analysis which belonged to multivariate statistical a- nalysis. Principal component analysis and calculation were carried on by statistical software and two principal components measuring students＂ experimental situation was attained which were called total score factor and experiment participation factor respectively. This method could make up the insuffi- ciency which the mere experimental scores computation bringed and the actual experimental situation of the students could be known more comprehensively. Different teaching methods and means can be a- dopted to improve the actual experimental effect for different types of students.
出处
《实验室科学》
2013年第2期103-105,共3页
Laboratory Science
关键词
实验成绩
多元统计
主成分分析
experimental scores
multivariate statistical analysis
principal components analysis
