based on mean column is needed to be above 0.05 to be considered that data is homogeny.
2. Test of Hypothesis
To find out the differences score in using blog on accuracy and complexity in writing, the writer used pre-test and post-test. After getting data from pre-
test and post-test, they were analyzed by using SPSS 20. After getting the result that the data were both homogeny and normal, t-test could be conducted
through Paired-Samples t-test. Paired-Samples t-test was used because it was a pre-post design test to know whether the different mean from two subjects that
were accuracy and complexity in both experimental class and controlled class was meant between two ratio-scale classes. To compute data, the steps were
needed as follow. a. Open SPSS program
b. Go to variable view and fill in the columns as follows. a Name: write pre-test in first row and post test in second
row, write pre test again in third row so post test in forth row. These are to indicate and differentiate between
experimental class and controlled class from one subject. b Type column was numeric
c Width column is filled 8 d Label column was left blank
e Value column none f Missing column is none
g Columns is 8 h Align column is right
i Measure column was unknown j Role column is filled with input
In calculating homogeneity and normality, column name and column decimal are needed to pay attention to.
c. Click data view, in score columns, compute 1 and 2 as the symbol of experimental class and 3 and 4 as the symbol of controlled class.
d. In score column, compute score of each class e. Click analyze compare means Paired-sample t-test
f. Put score in test variable, and class in grouping variable g. Click define groups use specified values
h. Fill group 1 with 1, and group 2, with 2 click continue i. Click ok.
Based on boxes above, it showed that mean of experimental class was 6.75 while mean of controlled class was 11.00. Ha was accepted if sig. 2 tailed was
smaller than 0.05, while H0 was accepted if sig 2.tailed was bigger than 0.05
Paired Samples Test
Paired Differences t
df Sig. 2-tailed
Mean Std.
Deviation Std.
Error Mean
95 Confidence Interval of the
Difference Lower
Upper
precomp - postcomp
-4.25000 5.95487
1.33155 -7.03697 -1.46303
-3.192 19
.005
precom - postcom
-9.05000 8.66010
1.93646 -
13.10305 -4.99695
-4.673 19
.000
G. Statistical Hypothesis
The statistical hypotheses of this research are:
1. H
= X
1
X
2
the mean score of the experimental class post-test is smaller than the mean score of the controlled class post-test; there is
not a positive effect of using blog on students’ accuracy and complexity in writing.
2.
Ha = X
1
X
2
the mean score of the experimental class post-test is bigger than the mean score of the controlled class post-test; there is a
positive effect of using blog on students’ accuracy and complexity in
writing .
Kategori