关联规则方法在心理测量中的应用  

Application of Association Rules Method in Psychological Measurement

作　　者：王冬燕[1] 钱锦昕[1] 徐海宁[2] 余嘉元[1] 

机构地区：[1]南京师范大学心理学院,南京210097 [2]南京师范大学纪委监察处,南京210097

出　　处：《心理科学》2013年第2期475-478,共4页Journal of Psychological Science

基　　金：南京师范大学哲学社会科学跨学科重大项目2010年度招标课题(KXK1010)的资助

摘　　要：探讨了当相关系数对变量之间相关程度不易进行度量或者无法度量的情况下,是否可以采用关联规则方法来考察变量之间的相互关系。从理论上分析了关联规则方法在心理测量中应用的可能性,并运用Apriori算法挖掘频繁项集,对来华留学生跨文化适应性数据进行分析,将关联规则方法分析结果与Pearson相关、Spearman相关结果进行比较,发现当使用关联规则方法进行相互关系分析时,能够更加简易、有效地获得变量间的相关规则。研究结果表明关联规则方法可以获得变量各个水平具体的支持度和置信度,推导出多变量之间的相关规则,并且对于处理非线性的多变量以及多分类变量的相关是非常有用的方法。When the correlation between variables is difficult to measure by correlation coefficient, the association rules can be used to examine the relationship between the two variables. The possibility of applying the association rules in psychological measurement was analyzed in theories, then the a priori algorithm for mining frequent item sets was used to analyze cross - cultural adaptation data of foreign students. The formal questionnaire was trans- lated into English, Japanese and Korean, then distributed to 11 provinces including 16 universities. Eventually, we obtained 651 valid questionnaires. The formal questionnaire was divided into two parts： adaptation influencing factors and adaptation level, in which adap- tation influencing factors included demographic factors, social and cultural influencing factors, the school environment influencing fac- tors and personality psychological characteristics. The Cronbaeh＇s consistency coefficients of each part of the formal questionnaire was larger than . 7. We used the data mining software Weka to implement the a priori algorithm, and set the minimum support ＂minsup＂ to ~ 2, with the lowest confidence level being not less than. 6. We then extracted information, and used the lift rate to evaluate the rules. Comparing the results between association rules, Pearson correlation and Spearman correlation, we find that using the association rules can be effective to get the rules between variables. The results show that association rules can gain the support and confidence of each level of the variables; it can deduce the rules between the multi - variables ; it is very effective for dealing with the correlation in non - linear multi - variables and multi - categorical variables. This is the first time to introduce the association rules method to psycho- logical measurement; it is a very useful method for analyzing relationship between data.

关 键 词：关联规则 相关系数 留学生 适应性 

分 类 号：B841[哲学宗教—基础心理学]