4. Findings and CommentsThe demogra

4. Findings and Comments
The demographic variables of the study are investigated at first in order to analyze independent variables. From descriptive statistics for the variables examined, it can be inferred that male employees answer 29% of the questionnaires, whereas female employees respond to 71% of the questionnaires. 6% of the questionnaires are
gathered from employees aged between 20 and 25, 42% questionnaires from employees aged between 26 and 30, and 25% of the questionnaires from employees aged between are 31 and 35. Employees aged between 36 and 40 respond
8% of the questionnaires. 19% of respondents are 41 and over. 28% of employees respond to the questionnaire have work experience up to 5 years, 31% of them between 6 and 10 years and 19% of them between 11 years and 15. 10%
of participants have the work experience of between 16 and 20 years. 12% of employees have been working for 21 years and over. Finally, 36% of employees responding to the questionnaire have a bachelor’s degree (B.Ed.) and 47%
of academics have a master’s degree (M.A.) while 17% of respondents have a PhD.
After analyzing the demographic variables, factor analysis is applied to the data gathered from the participants.
As stated before, the Multifactor Leadership Questionnaire (MLQ) including 21 items has such a delivery of dimensions of transformational leadership that Idealized Influence is measured by the items of 6., 8., 11., 13., and 15.; Inspirational Motivation by the items of 1., 5., 9., 12., 16., and 20.; Intellectual Stimulation by the items of 2., 3., 10.,17., 19.; Individualized Consideration by the items of 4., 7., 14., 18., 21. As the questionnaire has the structure of the 5-point Likert scale, each statement is calculated through the average of the interval values of scale using “not at all”
between (1,00-1,80), “sometimes” between (1,81-2,60), “once a while” between (2,61-3,40), “fairly often” between (3,41-4,20) and “always” between (4,21-5,00). Basic statistical tests are used in this study in order to analyze factors

ผลลัพธ์ (อังกฤษ) 2:

4. Comments and Findings
of the Study The Demographic variables are investigated at First in Order to Analyze Independent variables. From descriptive statistics for the variables examined, it can be inferred that male employees answer 29% of the questionnaires, whereas female employees respond to 71% of the questionnaires. 6% of the questionnaires are
gathered from employees Aged between 20 and 25, 42% Aged between 26 and 30 questionnaires from employees, and 25% of the questionnaires from employees are between 31 and 35. Employees Aged Aged between 36 and 40 Respond
8%. of the questionnaires. 19% of respondents are 41 and over. 28% of employees Respond to the questionnaire have Work Experience up to 5 years, 31% of them between 6 and 10 years and 19% of them between 11 years and 10 15.%
of the participants have between 16 and 20 years of Work Experience. . 12% of employees have been working for 21 years and over. Finally, 36% of employees responding to the questionnaire have a Bachelor's Degree (B.Ed.) and 47%
have a Master's Degree of academics (MA) while 17% of Respondents have a PhD.
After analyzing the Demographic variables, factor Analysis is. Applied to the Data gathered from the participants.
As stated before, the Multifactor Leadership Questionnaire Do (MLQ) including 21 items has such a transformational Delivery of Dimensions of Leadership Influence is measured by that idealized the items of 6., 8., 11.,. 13., and 15 .; Inspirational Motivation by the items of 1., 5., 9., 12., 16., and 20 .; Intellectual Stimulation by the items of 2., 3., 10., 17., 19 .; Individualized Consideration by the items of 4., 7., 14., 18., 21. As the questionnaire has the structure of the 5-point Likert scale, each statement is calculated through the average of the interval values ​​of scale using "not. at all "
between (1,00-1,80)," sometimes "between (1,81-2,60)," once a while "between (2,61-3,40)," Fairly often "between (. 3,41-4,20) and "always" between (4,21-5,00). Basic statistical tests are used in this study in order to analyze factors.