文章基本信息

标题：DECISION TREE ANALYSIS OF THE PREDICTORS OF INTERNET AFFINITY
本地全文：下载
作者：Bubaš, Goran ; Kliček, Božidar ; Hutinski, Željko 等
期刊名称：Journal of Information and Organizational Sciences
印刷版ISSN：1846-3312
电子版ISSN：1846-9418
出版年度：2001
卷号：25
期号：2
页码：59-67
出版社：Faculty of Organization and Informatics University of Zagreb
摘要：A recently developed model of Internet affinity was used for survey design and data collection on variables that have potential influence on affinity for Internet use. A total of 600 Croatian students with access to the Internet at their college participated in this survey. The collected data were used for investigation of the relation between decision tree analysis and regression analysis of predictor variables of Internet affinity. Different predictors were found to influence two distinct criteria of Internet affinity (1) frequency of Internet use and (2) desire to use the Internet. Decision tree analysis and regression analysis manifested much similarity in the uncovered lists of variables that affected the criteria. However, the results of decision tree analysis were more informative since they provided greater insight into the structural relations of important predictor variables and also into specific subgroups of subjects in the survey.
关键词：Internet affinity; survey; decision tree analysis; regression analysis