## 3 Results
Having a specialization in the discipline did not influence the answers. The results of the chi-square test are presented in Table 4.  
MCA is a multi-feature method that allows for the visualization of the relationship between the answers provided, and the groups of respondents involved, using a biplot \begin{table}
\begin{tabular}{c c c c} \hline \hline  & **Chi Square** & **Df** & \(p\)**Value** \\ \hline Discipline & & & \\ \hline Question 3 & 15.228 & 4 & **0.004251** \\ \hline Question 4 & 16.168 & 4 & **0.002802** \\ \hline Question 5 & 32.112 & 4 & **0.000911** \\ \hline Question 6 & 119.526 & 6 & **<0.0001** \\ \hline \multicolumn{3}{c}{Specialization} \\ \hline Question 3 & 2.16 & 4 & 0.706359 \\ \hline Question 4 & 3.551 & 4 & 0.470166 \\ \hline Question 5 & 2.44 & 4 & 0.622103 \\ \hline Question 6 & 11.125 & 6 & 0.084589 \\ \hline \multicolumn{3}{c}{Years of clinical experience} \\ \hline Question 3 & 37.6207 & 20 & **0.009848** \\ \hline Question 4 & 75.6266 & 20 & **<0.0001** \\ \hline Question 5 & 44.4933 & 20 & **0.002291** \\ \hline Question 6 & 28.7571 & 30 & 0.5304 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: The chi-square analysis of the influence of discipline, specialty, and years of clinical experience on the responses. Figure 5: Percentage distribution of responses to the sixth question: “What method do you use in evaluation of soft and hard periodontal tissue?”. chart. This allows for more transparent and unambiguous inferences, expanding the possibilities of interpreting survey research in relation to classical methods. The multiple correspondence analysis demonstrated differences in the answers between the periodontists/oral surgeons and orthodontists with or without specialization. The abbreviation \"perio spec/non spec\" on the plots is used for the group of periodontitis/oral surgeons with/without specialization and \"ortho spec/non spec\" is used for the group of orthodontists with/without specialization. The MCA indicated that periodontitis/oral surgeons more frequently chose answers \(b\) and \(c\) to question 3, whereas orthodontists chose \(a\) and \(d\) more frequently (Figure 6). Having a specialization did not influence the answers (the red triangles are close to each other). We observed no relationship between the specialization and the answer \(e\) given in response to question 3. Regarding question 4, within the group of periodontitis/oral surgeons with specialization, the answer \(d\) was most frequently chosen and, within the group of orthodontists, answers \(a\), \(c\), and \(d\) were most frequently chosen (Figure 7). No difference between the specialist and non-specialists in orthodontics was identified. Similar to question 3, no relationship with specialization was observed in regard to the answer \(e\) to question 4. There was greater similarity in the answer pattern to this question among orthodontists, both with and without specialization, than among the other study groups. Figure 6: Biplot graph of the MCA of the answers to question 3. Figure 7: Biplot graph of the MCA of the answers to question 4. Figure 7 displays the biplot graph of the MCA of the answers to question 4. In regard to question 5, answer \(a\) was characteristic in the group of periodontitis/oral surgeons, and answers \(a\), \(b\), and \(c\) were characteristics among the orthodontists (Figure 8). The distribution of the answers to question 6 was larger in the periodontitis/oral surgeon group, but answer \(b\) was most frequently chosen. Moreover, among specialists, answer \(f\) was often marked. Orthodoxtists most frequently chose answers \(a\) and \(e\), with no difference between specialists and non-specialists (Figure 9).