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lecturing B
1            :
the mean score of reading test of students having high intelligence B
2            :
the mean score of reading test of students having low intelligence A
1
B
1     :
the mean score or reading test of the students having high intelligence who are taught by using semantic mapping
A
1
B
2     :
the mean score of reading test of the students having low intelligence who are taught by using semantic mapping
A
2
B
1     :
the mean score or reading test of the students having high intelligence who are taught by using lecturing
A
2
B
2 :
the mean score of reading test of the students having low intelligence who are taught by using lecturing
2. Tuckey Test
The  ANOVA  test  is  used  to  find  out  if  there  is  a  significant  different between groups. However, the analysis only indicates that there is a difference
between group means, but it does not show the means difference between cells. Thus, a post hoc test needs to be done.
Tukey test is post hoc test designed to perform a pair wise comparison of  the  means  to  see  where  the  significant  difference  is.  There  are  the
procedures to follow in conducting the TUKEY test: a.
Between columns semantic mapping compared with lecturing in teaching reading
n iance
er r or c
X c
X q
var
2 1
 
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b. Between rows students with high intelligence and low intelligence
n iance
er r or r
X r
X q
var
2 1
 
c. Between columns semantic mapping compared with lecturing in teaching
reading for students having high intelligence
n iance
er r or r
c X
r c
X q
var
1 2
1 1
 
d. Between columns semantic mapping compared with lecturing in teaching
reading for students having low intelligence
n iance
er r or r
c X
r c
X q
var
2 2
2 1
 
or
n iance
er r or r
c X
r c
X q
var
2 1
2 2
 
The analysis of the result of the computation or qo is  compared with qt,  if  qo    qt,  the  difference  is  significant.  To  know  which  one  is  better,  the
means are compare Ngadiso, 2009: 19.
3. Statistical Hyphothesis
The researcher formulates the statistical hypotheses that consist of null hypotheses  H
and  alternative  hypothesis  H
1
.  The  statistical  hypotheses are as follows:
a. The  difference  in  the  effectiveness  between  semantic  mapping  and
lecturing  in  teaching  reading  at  the  eighth  graders  of  SMPN  12 Tasikmalaya in academic year 20122013.
Ho : μ A
1 =
μ A
2
H
1
: μ A
1
μ A
2
Ho :  there  is  no  difference  in  the  effectiveness  between  semantic
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mapping and lecturing  in teaching reading
H
1   :
semantic  mapping  is  more  ffective  than  lecturing    in  teaching reading
b. The  difference  in  reading  ability  between  students  who  have  high
intelligence  and  low  intelligence  at  the  eighth  graders  of  SMPN  12 Tasikmalaya in academic year 20122013.
Ho = μ B
1 = μ
B
2
H
1
= μ B
1 μ
B
2
Ho :  there is no difference in reading ability between the students having high intelligence and those having low intelligence
H
1   :
the  students  having  high  intelligence  have  better  reading  ability than those having low intelligence
c. The interaction between teaching strategies and students’ intelligence to
teach reading at the eighth graders of SMPN 12 Tasikmalaya in academic year 20122013.
Ho = A x B = 0 H
1
= A x B  0
Ho :  there  is  no  an  interaction  between  teaching  strategies  and intelligence in teaching reading
H
1   :
there  is  an  interaction  between  teaching  strategies  and  intelligence in teaching reading
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CHAPTER IV RESULT AND DISCUSSION
A. Description of Data
There are two classes of the eighth graders of SMPN 12 Tasikmalaya used for the research: class VIII C as control class  and VIII D as experimental class.
The experimental class was taught using semantic mapping and control class was taught using lecturing. Each class consists of 40 students. There is a border which
saparate the students. The border is their level of intelligence. The data presented here are the result of the reading test. The description
includes  mean,  mode,  median,  standard  deviation,  and  frequency  distribution followed by histogram and polygon. Building on group analyzed, the distribution
was  divided  into  eight  of  groups:  1  the  data  of  the  students  who  were  taught using semantic mapping A
1
; 2 the data of the students who were taught using lecturing  A
2
;  3  the  data  of  the  students  having  high  intelligence  B
1
;  4  the data  of  the  students  having  low  intelligence  B
2
;  5  the  data  of  the  students having high intelligence who were taught  using semantic mapping A
1
B
1
; 6 the data  of  the  students  having  high  intelligence  who  were  taught    using  lecturing
A
2
B
1
; 7 the data of the students having low intelligence who were taught using semantic mapping A
1
B
2
; 8 the data of the students having low intelligence who were taught  using lecturing.