Data Processing Technologies for Calculating Prognostic Validity of Educational Achievement Tests

Calculating test validity as an instrument of educational achievement level determination, is one of the main research tasks, especially on a state level. The system of HEI admission must be based on the principles of fairness and openness. This can only be achieved by conducting systematic admission test result analysis both in the context of organization processes and within the assessment of the system efficiency in general. One of the main tasks in psychometry is the analysis of prognostic test validity. Calculating test validity cannot be performed once, it should be a permanent process, mainly because changes of external and internal factors influencing educational system cause changes in assessment mechanisms. Naturally, conducting permanent monitoring and analysis is impossible without using modern informational technology means and tools. Existing data systems and technologies in Ukraine don`t allow to conduct full analysis of External independent testing (EIT) quality. Data analysis is done with the use of modern methods and technologies; however, the analysis is not conducted regularly, it is often incomplete; and the process of data-gathering is complicated and not standardized. Results, which researchers receive on different stages of the analysis can have mistakes, and this can cause misjudgments in future. In the paper the results of prognostic validity research conducted for EIT from 2008 to 2014 are represented. The analysis of problems with data-gathering, processing and interpretations is shown. The perspectives of the development of unified data system for assessment of EIT quality in Ukraine are studied.