Indah Hermyati, 2014. THE USE OF M-U-F FRAMEWORK IN IMPROVING SPEAKING ABILITY OF YOUNG LEARNERS
Universitas Pendidikan Indonesia | repository.upi.edu |perpustakaan.upi.edu
CHAPTER IV FINDING AND DISCUSSION
This chapter consists of two main parts, those are findings and discussions. The findings are divided into four parts, which are the pilot test score analysis, the
pretest score analysis, the posttest score analysis, and the research findings of questionnaire. Those findings are then analysed and interpreted in the discussion
part.
Findings
4.1 Improvement of the students’ speaking skill by using M-U-F
framework 4.1.1
Findings from the pretest score analysis
The means and standard deviations of the pretest scores are displayed in appendix 2. The table shows that the mean for the experimental group is 9,75,
while the mean for the control group is 9,60. In order to prove that the two means of both groups were not significantly different, Independent
t
-test was implemented. Before
t
-test was implemented, the pretest scores of both experimental and control groups must be approximately normal and
homogeneous. Therefore, the calculation of the normal distribution and homogeneity of variance test was implemented to the two groups’ scores.
4.1.1.1 The result of the normal distribution test
The Kolmogorov-Smirnov test was employed to check whether the pretest scores of both groups are normally distributed. From the table that can be seen in
appendix 2, the results show that
Z
score at the experimental pretest is 0.670 and
Z
score at the control pretest is 0.558. The significance value of experimental 0.760 is higher than the level of significance 0.05. Equally, the significance
value of control group 0.814 is higher than the level of significance 0.05. It can be concluded that H
null hypothesis was accepted . In other words, both groups’
score are normally distributed.
Indah Hermyati, 2014. THE USE OF M-U-F FRAMEWORK IN IMPROVING SPEAKING ABILITY OF YOUNG LEARNERS
Universitas Pendidikan Indonesia | repository.upi.edu |perpustakaan.upi.edu
4.1.1.2 The result of the homogeneity of variance test
The homogeneity of variance test was accomplished after the normal distribution test was conducted.
Levene’s statistics in IBM SPSS Statistics 20 for Windows was used to analyse the homogeneity of variance of control and
experimental group’s pretest score. The result is shown on appendix 2. From the SPSS output results, it represents that the Levene’s test is 1.022.
It is higher than the level of significance, 0.05 1.022 0.05. Therefore, the H null hypothesis was accepted. It can be said that the variances of the control and
experimental groups are homogeneous or equal.
4.1.1.3 The result of the Independent
t
-test
The Independent
t
-test was implemented to see whether there is a significant difference between the scores of experimental and control group
pretest. The hypotheses that were established in this analysis were in the form of null hypothesis and alternative hypothesis. Null hypothesis indicates that the
means of two groups are not significantly different, while alternative hypothesis indicates that the means of two groups are significantly different.
Based on the statistical analysis that is illustrated in the Table 4.4 in appendix 2, it can be explained that the significance value of means in both
groups for equal variances assumed is 0,876. It is more than level of significance 0.05 0,876 0.05. Therefore, the null hypothesis H
was accepted. In other
words, the means of the two groups are not significantly different. 4.1.1.4
The result of inter-rater reliability
Based on the statistical analysis that is illustrated in chapter three, it can be explained that the scores of both rater are substantial agreement for the
experimental group’s pretest and moderate agreement for control group’s pretest. It is shown from the result of Cohen’s Kappa Statistical Measure value that is
0,663. The value is in substantial agreement range 0,61 - 0,80. For the control group, the value is in moderate agreement range 0,41
– 0,60.
Indah Hermyati, 2014. THE USE OF M-U-F FRAMEWORK IN IMPROVING SPEAKING ABILITY OF YOUNG LEARNERS
Universitas Pendidikan Indonesia | repository.upi.edu |perpustakaan.upi.edu
4.1.2 Findings from the posttest score analysis
The posttest scores were analyzed to see whether there is any improvement in the
students’ final scores after the treatment was given to them. The Table 4.5 in appendix 2 shows the result of the posttest from the statistical
computation. The Table 4.5 shows that the mean of the experimental group is 17,775,
while the mean for the control group is 12,800. It is directly stated that the means of the experimental and the control group are different. It can be seen that the
means from both experimental and control groups from the posttest scores are different. However, to prove whether the means of both groups are significantly
different, the Independent
t
-test was implemented. Before the Independent
t
-test was implemented to the both groups’ posttest means, the posttest scores of both
groups should be approximately normal and homogeneous. Therefore, the normal distribution test and homogeneity of variance test were calculated to find the
means of the experimental and the control group posttest. Furthermore, the effect size was calculated in order to discover the effect of the independent variable
which is the M-U-F framework upon the dependent variable which is the students’
speaking score.
4.1.2.1 The Result of the Normal Distribution Test
