Scales or surveys are among the measurement tools developed to measure the perceptions of individuals on specified topics. In some cases, the length of these measuring tools may negatively affect the response rates of individuals towards these tools. In this regard, this study aimed to development of short forms of scales by decision trees algorithms. In this way, it can be provided to design short-form measuring tools that perform similar functions and to increase the rate of responses to measuring tools. In the study, predictions were made with decision trees, which are data mining methods. In this context, analyzes were made with decision trees algorithms to obtain short forms of three scales. According to the results obtained, a high level of correlation was found between scales' short and long forms. Thus, it can be concluded that short forms of scales are suitable for measuring similar purposes. Instead of using scales consisting of 40, 20 and 20 items, expected measurements can be made with at least three and 10 items with appropriate tree algorithms for each scale. Among the suggestions of the study, it is possible to carry out similar studies for frequently used scales. So high participation rates for scales can be obtain. Index Terms-short form scale, decision trees, mobile phone problem use, mobile device addiction, attitude towards learning.
I. INTRODUCTIONESEARCHERS need to take some measurements in order to get results on the topics they are curious about. Whether in science or social sciences, it is stated that measurements are among the basic activities of science [1]. In all these processes, developed measuring tools can be used. Sometimes, specially developed methods and equipment are used for the measurement process. In the social sciences, the relationships between the structures are wondered [2]. Thus, individuals' perceptions in targeted dimensions can be measured.