# Power Quality Impact and Its Assessment: A Review and a Survey of Lithuanian Industrial Companies
## 5 Discussion
### Survey as a Scientific Method
#### 5.2.2 Limitations  
Thus, considering the above, it can be affirmed that a survey is not a bad method for conducting research and analyzing information not only in social but also in technical sciences. The survey of Lithuanian industrial companies perfectly complements the information given in Section 2, and is the first work of its kind presented in the scientific literature. However, like any method, surveys also have their own limitations.  
The absolute majority of the answers presented in this paper are empirical rather than rational. These answers are based on observation and experience rather than reasoning, logic and mathematics. In general, competence can be divided into four stages--this pyramid model is shown in Figure 10a and dates back to 1960s, and analogously to well-known [PERSON]'s pyramid (Figure 10b), the highest level cannot be reached without the lower levels. PQ is the newly emerging field [1; 2; 8], thus there is still a lot to be done before reaching the highest level. Undoubtedly, the primary goal of PQ research is an effective PQ mitigation strategy. The secondary could be the creation of a legal mechanism regulating the electromagnetic pollution of the grid, the practical realization of which is impossible without fully functional data collection and analysis systems. In turn, big data analysis is not possible without a comprehensive understanding of the physical nature of the PQ phenomena and AI algorithms. An insufficient level of competence poses a risk of not only both type I and type II errors but also of both type III (correct rejection of the null hypothesis but due to the wrong reason) and type IV (correct rejection of the null hypothesis but an incorrect interpretation of a correct results).  
Figure 10: (**a**) The four stages of competence; (**b**) [PERSON]’s hierarchy of needs.  
\begin{table}
\begin{tabular}{c c} \hline \hline
**Question** & **Result and Discussion** \\ \hline How often do you generate & In most cases, the formal reports are generated for the investigation of specific event, and one-third of respondents generate them regularly (weekly or monthly). Most commonly, the information is used for problem-specific internal/external reporting and PQ mitigation measures planning. During the PQ monitoring campaign in the Lithuanian DSO grid, such reports were not generated, because the purpose was technical-scientific rather than legal. Regular reporting is resource-consuming and not a common practice in the world \\ \hline \hline \end{tabular}
\end{table}
Table 31: _Cont._Another problem that can and does exist in both industry and science is inability (as well as reluctance) to clearly communicate available knowledge (as well as special misleading due to various subjective reasons). This can be illustrated with the Johari window (Figure 11), a visual framework divided into four quadrants that helps to understand the relationship between self and others, and, respectively, to enhance self-awareness and improve communication.  
Let us roughly evaluate the competency of Lithuanian industrial companies in the various PQ subfields. The decision is presented in Table 32: the maximum score in each row is 1.00, and they can be distributed only between two adjacent levels. Points are rarely given to the third level (not to mention the fourth), usually only to the first and the second. Moreover, in our opinion, the current situation in the scientific community is slightly better, but just slightly.