prepositions, but meaning seldom obscured
17 – 11 FAIR TO POOR: major problems in simplecomplex contructions, frequent
errors of negation, agreement, tense, number, word orderfunction, articles,
pronouns,
prepositions andor
fragments, run ons, deletions, meaning confused or obscured
10 – 5 VERY POOR: virtually no mastery of sentence contruction rules, dominated by
errors, does not communicate, or not enough to evaluate
MECHANICS
5 EXCELLENT TO VERY GOOD:
demonstrate matery of conventions, few errors of spelling, punctuation,
capitalization, paragraphing
4 GOOD TO AVERAGE: occasional
errors of spelling, punctuation, capitalization,
paragraphing, but
meaning not obscured 3
FAIR TO POOR: frequent errors of spelling, punctuation, capitalization,
paragraphing,
poor handwriting,
meaning confused or obscured 2
VERY POOR:no mastery conventions, dominated by errors of spelling,
punctuation,
capitalization, paragraphing, handwriting illegible, or
not enough evaluate
F. Data Analysis Technique
SPSS v.22 and t-test formula are used for analyzing the data. SPSS v.22 is used for analyzing normality and homogeneity of the test. Normality test is used
to know whether the data from experimental and controlled class are normally distributed or not while homogeneity test is used to find out whether the data
from two classes have the same variant in order that hypothesis can be tested by t-test or not. Furthermore, the use of t-test formula is to know the difference score
between students who are taught with guided question technique and without the guided question technique. The formula of the t-test is:
3
t
o
=
Explanation:
t
o
=
The value of ‘t’ count M
x
= Mean variable of experimental class M
y
= Mean variable of controlled class SE
M1
= Standard error of experimental class SE
M2
= Standard error of controlled class
The procedures used are as follow: 1. Determining Mean Variable X:
M
x
=
∑
2. Determining Mean Variable Y: M
y
=
∑
3. Determining Deviation Standard of Score of Variable X: SD
x
=
∑
4. Determining Deviation Standard of Score of Variable Y:
3
Anas Sudijono, Pengantar Statistik Pendidikan,, Jakarta: Rajawali Pers, 2014, p.314- 316.
SD
y
=
∑
5. Determining Standard Error of Mean Variable X: SE
Mx
= 6. Determining Standard Error of Mean Variable Y:
SE
My
= 7. Determining Standard Error of difference of Mean Variable X and Mean
Variable Y: SE
Mx - My
= 8. Determining t
o
with formula:
t
o
=
9. Determining degree of freedom: df = N
x
+ N
y
– 2
G. Statistical Hypothesis
The researcher stated the hypothesis as follow: 1. Null Hypothesis H
o
: There is no significant difference between the result after teaching recount text writing by using guided question technique and
without using guided question technique at the eighth grade students of MTs.
Negeri 13 Jakarta.
2. Alternative Hypothesis Ha: There is a significant difference between the result after teaching recount text writing by using guided question technique
and without using guided question technique at the eighth grade students of
MTs. Negeri 13 Jakarta.
The criteria used to prove the hypothesis is as follow: a. If t-test t
o
t- table t
t
in significance degree 5, null hypothesis H
o
is rejected or alternative hypothesis H
a
is accepted. b. If t-test t
o
t- table t
t
in significance degree 5, null hypothesis H
o
is accepted.
34
CHAPTER IV RESEARCH FINDINGS
A. Data Description
The result of this research was acquired from a writing test. The writing test was divided into pre-test and post-test. Pre-test was given in the first meeting
and post test was given in the last meeting into both classes VIII-B as an experimental class and VIII-A as a controlled class. The data of each class will
be explained below.
1. The Data of Experimental Class
The following table is the score of pre-test and post-test in the experimental class VIII-B.
Table 4.1 The Students’ Pre-test and Post-test Score of Experimental Class
Students Number
Pre-test Post-test
Gained Score
1 56
77 21
2 61
74 13
3 50
74 24
4 64
76 12
5 64
77 13
6 56
69 13
7 61
76 15
8 66
76 10
9 66
81 15
10 61
83 22
11 57
74 17
12 59
83 24
13 56
72 16
14 57
74 17
