多维关联规则在心理测量中的应用  

Application of Multidimensional Association Rules Method in Psychological Measurement

作　　者：王冬燕[1] 

机构地区：[1]南京中医药大学心理学院,南京210023

出　　处：《智能计算机与应用》2015年第5期8-11,共4页Intelligent Computer and Applications

摘　　要：利用多维关联规则方法提取心理测量不同量表属性间的关联规则,样本包括1 958名大学新生。鉴于量表属性较多,且数据库庞大,传统的关联规则Apriori算法较难实现,因此基于Apriori算法设计并实现了多维关联规则的挖掘算法,并应用于心理测量量表属性的关系研究。实验表明,多维关联规则方法能够较快速且更加准确地挖掘出属性间的多维关联规则,并且这些规则在心理测量工作中能够起到指导作用,说明该方法是十分有效的。The use of multidimensional association rules to extract the psychometric properties of the scale between different association rules,the sample includes 1 958 freshmen. Given the large scale property and huge databases,traditional Apriori algorithm of association rules difficult to achieve,so based on Apriori algorithm design and implementation of multidimensional association rules mining algorithm,and study the relationship between psychometric properties of the scales applied. Experimental results show that the multidimensional association rules can more quickly and more accurately excavated multidimensional association rules between attributes,and these rules work in psycho- metrics can play a guiding role,indicating that this method is very effective.

关 键 词：多维关联规则 MMPI 16PF 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论] B842[自动化与计算机技术—计算机科学与技术]