The steps were using SPSS 18 to measure normality test as follow: - Open file
- Click analyze Descriptive statistics Explore on menu toolbar - Click and input score of reading dependent list and input the
other variable in the factor list - Click Statistics and choose 95 as descriptive confidence interval
for mean - Click continue until it came back in the menu
- Click plots checklist normality plots with tests - Continue and Ok
2. Homogeneity test
Homogeneity test was done to know the variance in population of research homogeny or not. Homogeneity test was to measure the data of the
population homogeny or not. The writer used SPSS 18 in this research. The
criteria of the testing follow:
1 If the value p significant α =0,05, H
is accepted, it means that sample has homogenous variant which means, the students had the
same characters on reading comprehension in narrative text, moreover the data was valid.
2 If the value p significant α =0,05,
H is rejected, it means that
sample does not have homogenous variant which means, the students had the same characters on reading comprehension in narrative text,
moreover the data was valid. The steps were using SPSS 18 to measure homogeneity test as follow:
- Open file - Click analyze Compare means One-way ANOVA on menu
- Click and input score of reading dependent list - Click the other variable factor
- Click options and choose homogeneity of variance test - Continue and Ok
3. T-test formulation
The writer analyzed the scores between experimental and control classes. This test assumed that the data normally distributed and fairly
robust to departures from normality. The technique of data analysis in this study was statistical analysis with t-test to know the effectiveness
suggestopedia on students’ reading comprehension in narrative text which significance
α= 0,05. The formula is follow
6
: ̅
̅ √
̅ ∑
̅ ∑
√
Description: = the price of t value
̅ = average score of experiment class
̅ = average score of control class
= variant data of experiment class = variant data of control class
= standard deviation of both classes = the total students of experiment class
= the total students of control class
After all the data calculated, the last of procedure was determining of df degree of freedom. The formula:
df = N
1
+ N
2
- 2
6
Dr. Kadir, M.Pd, Statistika Untuk Penelitian Ilmu-ilmu Sosial.Jakarta: Rosemata Sampurna, 2010, p. 195
The criteria of the testing are as follow: If
, H is accepted and H
a
is rejected If
, H is rejected and H
a
is accepted
4. Mean
