Itje Pangkey Abstract
1. DESCRIPTION OF RESEARCH DATA a. Effectiveness of Student Activities
Data related to the variable effectiveness of student activities were collected using structured questionnaires that have been tested and resulted in 32 valid items of 34 items that were prepared to be tested. Thus, theoretically, scores of respondents were in the range between 32-160. Based on the research data, the obtained empirical scores were in the range 49-124. The frequency distribution is done by dividing the distribution class into seven classes as shown in the following table.
Table 1. Data Frequency Distribution of Effectiveness of Student Activity Variable
Interval Frequency
Range Absolute Relative (%) Commulative (%)
49-59 3 3.80 3.80
60-70 9 11.39 15.19
71-81 12 15.19 30.38
82-92 18 22,78 53.16
93-103 16 20,25 73.41
104-114 14 17.72 91.13
115-125 7 8.86 100,00
Total 79 100 -
Highest frequency interval is located on the 4th class with absolute frequency 18, so that it formed a 22.78% relative frequency. Lowest frequency found in the class interval to 1 or in the range of 49-59 with a frequency of 3 so the absolute frequency is 3.80%. The effectiveness of the highest student activities owned by 7 students who responded that can be seen in the last range 115-125 of the frequency distribution list that forms the relative frequency of 8.86%. The Descrption of the respondents in the form of a diagram can be seen in the following histogram.
Figure 1. Histogram of Effectiveness of Student Activity Variable
b. Leadership credibility
Data on leadership credibility variables were collected through a questionnaire instruments that have been developed and have been tested so as to produce 24 valid items of 26 items that have been prepared. Having regard to the number of items consisted of 24, theoretically scores of respondents were in the range between 24-120.
Table 2. Data Frequency Distribution of the Leadership Credibility Variable
Interval Frequency
Range Absolute Relative (%) Commulative (%)
62-70 3 3.80 3.80
71-79 7 8.86 12.66
80-88 9 11.39 24.05
89-97 14 17.72 41.77
98-106 18 22.78 64.56
107-115 16 20.25 84.81
116-124 12 15.19 100.00
Total 79 100 -
Based on the results of the study, it was found that empirical scores were in the range 62 - 119. Making the frequency distribution is done by dividing the distribution into seven classes that its presentation can be seen in Table 2. The frequency distribution list indicates that the highest frequency lies in the interval class 5 with absolute frequency of 18, so that the relative frequency is 22.78%. The lowest frequency found in the interval class 1 or in the range of 62-70 with a frequency of 3 so that the absolute frequency is 3.80%.
Figure 2. Histogram of Leadership Credibility Variable
The highest leadership credibility is owned by 12 students who responded that can be seen in the last range of the frequency distribution list. Image of the histogram is further clarify the distribution of respondents on the variables of leadership credibility. It shows that respondents were most frequency is the lower class limit of 97.5 or in the range of 98- 106 which is shown by the height of the histogram.
c. Program Management
This study was conducted to collect data on the program management variable. Data were collected using the questionnaire as a research instrument. After the questionnaire was developed, it was tested resulting in 22 valid items of 26 items prepared to be tested.
Table 3. Data Frequency Distribution of Program Management Variable
Interval Frequency
Range Absolute Relative (%) Commulative (%)
45-58 4 5.06 5.06
59-68 8 10.13 15.19
69-78 14 17.72 32.91
79-98 19 24.05 56.96
89-98 16 20.25 77.21
99-108 11 13.92 91.13
109-118 7 8.86 100.00
Total 79 100 -
Research data shows that the empirical scores were in the range 49-116 is the lowest score 49 while the highest score of 116. The frequency distribution table shows that the highest frequency lies in the interval range of 4 to 19, thus it forms a relative frequency of 24.05%. The lowest frequency lies in the interval range of 1 or in the range of 49-58 with a frequency of 4 so that the absolute frequency of 5.06%.
48,5 58,5 68,5 78,5 88,5 98,5 108,5 118,5
Figure 3. Histogram of Program Management Variable
2. (a) Data Normality Test
This test is done to determine whether the data collected from the respondents came from a population of normal distribution or not. The test is often used to test the normality of the data is Liliefors test. One of the strengths of this normality test is the use of the z distribution list for the calculation of the data normality.
1) The results of Normality Test of the Effectiveness of Student Activity Variable.
From the results of Normality Test of the Effectiveness of Student Activity Variable, based on the attached analysis results, the calculated L obtained the highest value of F (Zi) - S (Zi) of 0.055898 while the critical value of Liliefors (L-table) for n = 79 at á = 0,05 is 0.09968. From these results it is known that the calculated L <L table, so that H0 is accepted and Ha rejected. It can be concluded that the data of effectiveness of the Student Activity Variable derived from the normal distribution population.
2) Results of Normality Test of Leadership Credibility Variable
The results of the data normality test based on the results of the attached analysis obtained the calculated L that is the highest value of F (Zi) - S (Zi) is 0.0843532 while the critical value Liliefors (L¬tabel) for n = 79 at á = 0.05 is 0.09968. From these results it is known that the calculated L <L-table, so H0 accepted and Ha rejected. It can be concluded that the leadership credibility variable data were obtained from a normal distribution population.
3) Results Normality Test of
The results of the normality test based on the attached analysis obtained L- count that is the highest value of F (Zi) - S (Zi) is 0.0773848 and the Liliefors critical value (L¬tabel) for n = 79 at á = 0.05 is 0.09968. From these results it is known that L-count <L-table, so H0 accepted and Ha rejected. It can be concluded that the data of the program management variable were obtained from a normal distribution population.
(b) Significance and Linearity Test
The requirement of other assumptions are tests of significance and regression equation linearity. Couple of hypotheses for testing the significance of regression equation is as follows:
H0: coefficient of regression direction does not mean anything (b d” 0) H1: coefficient of regression direction means something or significant (b> 0) Testing criteria is “H0 rejected if T-count is greater than the value of the F-table with a chance of á and degree of freedom numerator 1 and denominator degrees of freedom (df) n – 2 with a sample size of 79. With a sample size of 79, the degree of freedom of the
denominator for the linearity test is 77. In particular, couples the research hypothesis for linearity test are as follows:
H0: regression is linear H1: regression is not linear
Criteria for linearity test is “rejected that linear regression if the F-count statistic is calculated to be greater than the value of the F-table with degree of freedom numerator k - 2 and dk denominator n - k on the selected error opportunities.
1) Tests of Significance and Linearity Regression of Effectiveness of Student