G. Techniques of Data Analysis
The techniques of data analysis consist of data from observation, data from
document and data from test were analyzed in some ways as presented below: 1. Data From Documentation
The data from documentation covered of the teaching preparation which applied to the teaching and learning activities in the classroom by the English
teacher.
2. Data From Test
This data test was gain to find out the effectiveness of using TPR method in instructional activities of vocabulary, the researcher used a quantitative
data which are related to the numerals and they are analyzed by statistics. She used t-test formula to calculate the data. The analysis has concerned between
experiment class and controlled class. To know the students’ score differences in learning vocabulary by using TPR method with learning
vocabulary without TPR method. She has to seek the differences of mean variable firs before using the t-test formula, the formula as follows:
M
1
= M
1
+ i
∑�
1
and
M
2
= M
1
+ i
∑�
1
M
1
: Means variable of experiment class M
2
: Means variable of controlled class M
1
: Is
appraisal mean i
: Is interval class ∑�
1
: Is the number of times result between own middle drop with the each of interval frequency from experimental class
∑�
1
: Is the number of times result between own middle drop with the each of interval frequency from controlled class
N : Is the number of students
a. Determining standard deviation score of variables x experiment class
SD1
=
∑�
12 �
−
∑�
1 2
SD
1
: Standard deviation of variable x ∑�
12
: The number of times result between own middle drop with the each of interval frequency from
experimental class N
: The number of students
b. Determining of standard error mean of variable x experiment class
SE
M1
=
�
1
−1
SE
M1
: The standard error mean of variable x SD
1
: Standard deviation for variable x N
: The number of students
c. Determining standard deviation score of variables Y controlled class
SD
2
=
∑�
12 �
−
∑�
1 2
SD
2
: Standard deviation of variable y ∑
12
: The number of times result between own middle drop with the each of interval frequency from
controlled class N
: The number of students
d. Determining of standard error mean of variable Y controlled class
SEM
2
=
�
2
−1
SE
M2
: the standard error mean of variable y SD
2
: Standard deviation for variable y N
: The number of students
e. Determining of standard error from mean of variable x and mean of
variable y �
1 − 2
=
�
� 2
+ �
2 2
f. Determining t-observation �
�
=
1 − 2
�
1 − 2
g. Determining t-table �
�
in significant level 5 and 1 with degree of freedom.
df = N
– 1 df
= Degree of freedom N
= Number of students
Kategori