Measuring Potential of a Candidate for a Job in the Light of Psychotechnical Tests and the Use of Selected Methods of Multivariate Analysis.

Background: The article presents a way to use the so-called "raw" results of psychotechnical tests in the process of broadly understood personnel policy. Based on the "raw" results of psychotechnical tests, the authors performed the so-called synthetic/aggregate assessments. From a computational perspective, the study employed: a popular multiattribute decision making (MADM) method-the Development Meter method-for decision-making evaluation. Czekanowski's method, one of the earliest and most significant approaches to object clustering. Methods: The proposed computational procedures using the synthetic meter and Czekanowski's method are discussed based on the results of tests conducted on a group of students on selected apparatuses that allow the implementation of psychotechnical tests, in relation to which reaction time plays a key role (the Piórkowski apparatus, a cross apparatus, a reaction time meter and Poppelreuter tables). Results: The authors used the results of a psychotechnical study conducted on a randomly selected group of full-time students through the use of two selected taxonomic methods to linearly organize the classified "objects," determine their similarity/differences, and group them. In the Development Meter method, objects were compared to abstract reference solutions (ideal objects), allowing the calculation of distances between each object and the reference solution(s). In Czekanowski's method, perceived as a universal statistical classification technique, a Euclidean distance matrix was used to define similarity intervals by categorizing distances into different classes. Conclusion: In the future, the authors would like to use the above-mentioned method for cyclic analysis of the results of measurements obtained on the entire population of students,which can provide important information for entrepreneurs looking for graduates with specific psychophysical predispositions.