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DECISION TREE ANALYSIS OF THE PREDICTORS OF INTERNET AFFINITY

Goran Bubaš ; Faculty of Organization and Informatics, University of Zagreb, Varaždin, Croatia
Božidar Kliček ; Faculty of Organization and Informatics, University of Zagreb, Varaždin, Croatia
Željko Hutinski ; Faculty of Organization and Informatics, University of Zagreb, Varaždin, Croatia

Sažetak

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.

Ključne riječi

Internet affinity; survey; decision tree analysis; regression analysis

Hrčak ID:

78477

URI

https://hrcak.srce.hr/78477

Datum izdavanja:

14.12.2001.

Posjeta: 1.299 *