a. Open SPSS Program b. Input the data to the data view by first fill the variable view with write
down X as score of pre-test or post-test score and Y as the kind of class c. Click Analyze Descriptive Statistics Explore
d. Drag the X to the Dependent List and Y to the Factor list e. Click Plot checklist Normality plots with test ok
The criteria of determining the normality of the data was: a. If t
value
was smaller than t
table
t
value
t
table
, it meant that H was accepted
and H
1
was rejected b. If t
value
greater than t
table
t
alue
t
table
, it meant that H was rejected and H
1
was accepted.
2. Homogeneity Test
Homogeneity test is used to know whether the data come from the homogeneous variance or not. To calculate the data, the researcher use SPSS
version 22 as follows: a. Open the SPSS program
b. Input the data to the data view by first fill the variable view with write down X as score of pre-test or post-test score and Y as the kind of class
c. Click Analyze Compare means One-way ANOVA d. Drag the X the Dependent List and Y to the Factor list
e. Click Option checklist Homogeneity of Variance Test Ok The criteria of determining the homogeneous of the data was:
c. If t
value
was smaller than t
table
t
value
t
table
, it meant that H was accepted and
H
1
was rejected d. If t
value
greater than t
table
t
alue
t
table
, it meant that H was rejected and H
1
was accepted.
After calculated the data and found that both the data were in normal distribution and from homogeneous variance, the next calculation uses t-test. it is
to test the hypothesis. Here, some tests which are used to analyze the score: 1. Mean. This test means to know the average of the score in each of the groups.
M
x
= M
y
=
2. Standard Deviation. This test means “a sort of average of the differences of all scores from the mean”
7
.
S
Dx
= S
Dy
=
3. Determine the Standard Error Mean of Variable X and Variable Y SEM
SD n1
1
SEM 2
1
4. Degree of Freedom is used to know the t-table on the significance 0.05 d
n1 n2
2
5. T-test. This test is used to know the significant difference score from both groups which is taken from gain score from both groups. It is preferred used if
the result if post-test of both groups showed the different mean score
8
. The formula is;
7
James Dean Brown, Testing in Language Programs: A Comprehensive Guide to English Language Assessment, New York: The McGraw-Hill Companies, Inc., 2005, pp. 102
104.
8
Lei Bao, Theoretical Comparisons of Average Normalized Gain Calculations, A journal from Physics Education Research of Department of Physics, The Ohio State University: 2006, p.
917.
