Özet:

Scientific research consists of the results achieved by processing and testing of data of various qualities systematically collected. That is, the prerequisite of being scientific is “measurability”. This situation makes the scientificity of the results obtained in a study directly related to the accuracy of the data collected in that study. In the "natural" world, which is the subject of scientific activity, all the characteristics that exist are observable. Scientific activity is built on this observability, and measurement/measurability is built on this observability. This phenomenon, however, sets the "data collection (measurement) tools" to be used in a study in the process of data collection. That is, basically, scientific activity is a measurement/data collection work. This article will focus on the importance of measuring in applied social science research, based on this basic acceptance, some scales and scale-making techniques. According to the purpose of the research in Applied Social Sciences research, the scale-making technique "Likert" is used in combination with the use of multiple and different types and levels of scale (scale-making technique) and effectively. Despite this frequency of use, some studies have observed that the Likert type scalation technique was used incorrectly (in a manner that is not in accordance with the thermal substructure). Therefore, this article aims to discuss the theoretical substructure of the Likert scaling technique and to determine the principles necessary for the possible use of the technique.

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