Regardless of the type of measurement and data, the data collection procedure using measuring instruments is used to get the reliable results. In order to reduce the measurement error, before starting the measurement, the required accuracy, available budget, time required to complete the study, characteristics of the subjects, level of quality data (reliability and validity) should be taken into account. Although there is a wide range of activities that can be taken to reduce error measurement, including effective training of interviewers and/or observers, the data should be double-checked, statistical procedures should be used to adjust the research instruments, and use of multiple measuring techniques are required. The basis of any statistical analysis must begin with the collection of data which is then analyzed using statistical tools. Namely, the selection of variables to be measured is a central part of a good research design. Therefore, the quality of the results and conclusions that stem from the obtained data is strongly influenced by the characteristics of the measurement instruments (of course, along with the sample choice). The same is true for business economics, where business decisions and their consequences may depend on the quality of the collected data.