F. Technique of Data Analysis
First of all, the research will do pre-test to know the basic ability of the student and to know the students writing of narrative text. After doing pre-test
the writer treated them in order to analyze the effectiveness of guided questions on student’s writing of narrative text in experiment class. After conducting the
treatment, the writer will give them post-test to see the significantly effect of the technique on students’ writing.
After the data is collected, the writer will analyze the normality of the data in order to make sure whether or not the data is normally distribute in this
research. This normality calculation is using Lillyfors, the data was transformed into the basic value. The maximum dispute T got from the
calculation must be in absolute value +. The result of normality can be seen by comparing the value of T
max
to T
table
With formula as followed:
. 3
Accept H
a
if T T
table
Accept H
o
if T T
table
After get the data from pre-test and post-testand after the normality is proved, they will be analyzed and processed by using statistic calculation of the
T-test formula with the significance degree 5 and 1 and Gained Score. The result will be scored by using rubric. The T-test formula is used to calculate the
differential significance made by pre-test and post-test. Moreover, gained score formula is used to calculate the degree of its effectiveness. The T-test formula
is stated as follows, which X is the data from experiment class and Y is the data from control class.
1. Determining Mean with formula:
�
�
R
= the average of variables score ���
′
= sum of frequency multiply the student’s score �
= number of students
3
Susetyo budy. Statistika Untuk Analisis Data dan Penelitia, Bandung: PT Refika
Aditama, 2010, p. 148
�
�
= �
�
+ � �
∑ ��
′
� �
2. Determining Standard Deviation score with formula:
��
�
= standard deviation of gained score ∑ ��
′2
= sum of squared gained score ∑ ��
′
= sum of gained score �
= number of students 3.
Determining of Standard Error mean with formula:
���
�
= standard error mean of gained score ��
�
= standard deviation of gained score �
= number of students 4.
Determining Standard Error Mean of variable X and variable Y with formula:
5. Determining t-observation t
with the formula:
6. Determining t-table in significant level 5 and 1 with degree of freedom
df, with formula: �� = �1 + �2 − 2
�� = degree of freedom � = number of students
��
�
= ��
∑ ��
′2
� − �
∑ ��
′
� �
2
���
�
= ��
�
√� − 1
���
1
�
2
= ���
�1
+ ��
�2
�
�
= �
1−
�
2
��
�1
− ��
�2
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