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54 5.
Identifying lexical meaning synonym and antonym
4,10,12,14,28, 30,36,47,50,54,
10 17
1
6. Identifying the purpose of
the text 6,18,23,41,46,
51,57,58, 8
Total 53
7 7
Then, to know the reliability of reading test, the formula used is as follows:
ú ú
û ù
ê ê
ë é
- -
=
å
2
1 1
t kk
s pq
k k
r
Where:
kk
r
: Coefficient of reliability k : Total of valid items
å
pq : Sums of all item variance
2 t
s : Total Variance Based on the result of analysis, it was found that the r
o
0.919 is higher than r
t
at the level of significance a 5 = 0.320. Because r
o
r
t
0.361 0.320, so the test used was reliable.
E. Technique of Analyzing Data
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55
å
X
X
å
X
X
å
X
X
å
X
X
å
X
X
å
1
r
X
X
å
2
r
X
X
In analyzing the data of this study the researcher uses descriptive and inferential analysis. A descriptive analysis is used to know the mean, median,
mode, and standard deviation of students’ scores in reading by using inferential analysis.
Table 3.4 Factorial Design for ANOVA
Teaching Model
Interest Test Taking Teams
A1 Direct Instruction Model
A2
High Interest B
1
First group of Students A
1
B
1
Second group of Students A
2
B
1
Low Interest B
2
Third group of Students A
1
B
2
Fourth group of Students A
2
B
2
In calculating the students score obtained after conducting test, the researcher uses 2 x 2 ANOVA by using some steps as designed in the form of
metric or table as follows: Table 3.5 Design for ANOVA
1
st
effect 2
nd
effect Test Taking Teams
Direct Instruction Model Total
High Interest
Group 1 Group 2
Low Interest
Group 3 Group 4
Total
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56 N
X X
x
t t
2 1
2 2
å å
å
- =
N X
n X
n X
n X
n X
x
t b
2 4
2 4
3 2
3 2
2 2
1 2
1 2
å å
å å
å å
- +
+ +
=
å å
å
- =
2 2
1 2
b w
x x
x
N X
n X
n X
x
c c
c c
bc 2
1 2
2 2
1 2
1 2
å å
å å
- +
=
N X
n X
n X
x
r r
r r
br 2
1 2
2 2
1 2
1 2
å å
å å
- +
=
å å
å å
+ -
=
2 2
2 int
br bc
b
x x
x x
å
2
c
X
2
c
X
å
1
c
X
1
c
X
Then the step used to calculate 2 x 2 ANOVA is as follows: a. The total sum of squares:
b. The sum of squares between groups:
c. The sum of squares within groups:
d. The sum between-columns of squares:
e. The sum between-rows of squares:
f. The sum of squares interaction:
g. df for between - columns sum of squares = C – 1 df for between - rows sum of squares = R – 1
df for interaction C-1 R-1
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57 df for between - groups sum of squares = G – 1
df for within - columns sum of squares =
å
- 1
n df for total sum of square = N – 1
C = the number of columns R = the number of rows
G = the number of groups n = the number of subject of one groups
N = the number of subject of all groups
Below is the table for summarizing of 2 x 2 ANOVA: Table 3.6 Design for Summarizing ANOVA
Source of Variance SS
Df MS
F
o
F
t.05
F
t.01
Between columns Teaching Method
Between rows Interest Columns by rows Interaction
Between groups Within groups
Total
1. Between column n
iance error
c X
c X
q var
2 1
- =
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58 2. Between row
n iance
error r
X r
X q
var
2 1
- =
3. Between column
HI
n iance
error r
c X
r c
X var
1 2
1 1
- =
4. Between column
LI
n iance
error r
c X
r c
X var
2 2
2 1
- =
or n
iance error
r c
X r
c X
q var
2 1
2 2
- =
5. The statistic test is obtained by dividing the difference between the means by the square root of the ratio of the within group variation and the sample size.
n S
X X
q TS
w j
i
:
2
- =
Tukey test is used to know the difference which teaching model is more effective or better to teach reading. Ngadiso, 2009: 19.
CHAPTER IV THE RESULT OF THE STUDY
This chapter discusses the result of the study. The result is divided into four discussions as follows: the description of the data, normality and
homogeneity test, hypothesis test, and the discussion of the result of the study.
A. The Description of the Data
The data presented are result of the reading test. It includes the mean, mode, median, standard deviation, and frequency distribution then followed by
histogram and polygon. The descriptions of data are based on the groups analyzed which are divided into eighth groups:
