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4.2 Tests of Normality
Testing conditions means, the counting that will be done before analysing any data in order to test the research hypothesis. To test the nomality and see if
the data that had been distributed in this research is of normal distribution. In order to see the normality, the researcher used a computerized SPSS version
11.5. The results of the normality of the data follows below in table 4.9.
Table 4.9 Shaphiro Wilk Normality
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df
Sig. Statistic
df Sig.
Loneliness .109
60 .072
.954 60
.025 Adjustment
.100 60
.200 .960
60 .047
This is a lower bound of the true significance. a Lilliefors Significance Correction
The results of normality testing according to the Adjustment and Loneliness data. The researcher used the Kolmogory - Smirnoy technique, which have a
significant result as big as 0.072 for the Loneliness variable and 0.200 for the Adjustment variable. In the meanwhile through using Shapiro-Wilk, the result
is as big as 0.025 for the Loneliness data and 0.047 for the Adjustment data.
According to both variables the significance of the result are 0.05, which means the data of both the variables are of normal distribution. The result of
the tests of normality can also be seen in the graphic 2.1 and 2.2 below.
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Graphic 4.1. Q Q Plot Loneliness
Normal Q-Q Plot of Loneliness
Observed Value
70 60
50 40
30 20
3 2
1
-1 -2
-3
Graphic 2.2 Q Q Plot Adjustment Sketch 2
Normal Q-Q Plot of Adjustment
Observed Value
110 100
90 80
70 60
50 3
2 1
-1 -2
-3
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4.3 Testing of Hypothesis
Testing conditions
To test the first hypothesis, the researcher made use of a correlation test according to Pearson’s product moment formula with the help of SPSS11.5.
The table below explain the results of the correlation test.
Tabel 4.10 Correlation testing result
Loneliness Adjustment
Adjustment Pearson
Correlation 1
-.780 Sig. 2-tailed
. .000
N 60
60 Loneliness
Pearson Correlation
-.780 1
Sig. 2-tailed .000
. N
60 60
Correlation is significant at the 0.01 level 2-tailed.
This research intended to test if there is a signficant relationship between Adjustment and Loneliness amongst the International students studying at
Syarif Hidayatullah State Islamic University Jakarta. With a working null hypothesis H
, there is no significant negative relationship between Adjustment and Loneliness amongst International students studying at Syarif
Hidayatullah State Islamic University of Jakarta. The results show a correlation between the 2 variables as follows. The value
of correlation according to the adjustment and loneliness variable is as big as -0.780 with a probability value of 0.000. According to this value the significant
tariff of 5 and N 60, as big as 0.254. The probability value of 0.0000.05, can be concluded that there is a significant relationship between adjustment
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and loneliness, because of that the Null hypothesis H which confirms that
there is no significant negative relationship between Adjustment and Loneliness has been denied. With an alternative hypothesis H
1
that there is a significant negative relationship between the two variables, Adjustment and
Loneliness. This hypothesis had been accepted as the hypothesis of this research. There is a significant negative relationship between Adjustment and
Loneliness. The direction of the negative relationship that had been obtained in this research means that the more low the feeling of loneliness then the
adjustment process will be high. The higher the feeling of loneliness, the lower the adjustment process.
4.4 Regression analysis
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