CHAPTER III METHODOLOGY
C. The discussion of the research finding
There is a number in the correlation analysis called the coefficient of determination, which is the square of the correlation coefficient (r2).
As the variance that occurs in the dependent variable can be explained by the variance that occurs in the independent variable, this coefficient is called the coefficient of determination. Therefore, r = 0.852, the coefficient of determination is r2 = 0.8522 = 0.72. This means that 72%
of the variant of speaking skill is influenced by students' frequency of using YouTube content, while the other 18% is contributed by other factors.
Based on the simple interpretation above, the researcher noticed that the correlation between students’ frequency of using YouTube content and speaking skill is strong. It means that there is a correlation between students’ frequency of using YouTube content and speaking skill.
speak. Youtube video can be a some of the media to help students to learn how to speak more easily. These will influence them to acquire English speaking skills.
The researcher has collected the data needed for verifying the hypothesis. There are two instruments used by the researcher, those are questionnaire and test. The first instrument, questionnaire which consisted of 17 items, was distributed to the participants to measure of students’
frequency of using YouTube. The second instrument, test was used to measure the level of the students speaking skill.
Based on the data above, it shows that there is significant correlation between students’ frequency of using YouTube content and speaking skill. The result of the research, it is found that the mean scores and standard deviation scores in each variable. The mean score of students’ frequency of using YouTube content is 72,66 and standard deviation is 3,35. It means that the mean score of students’ frequency of using YouTube content is high and standard deviation is low. While, the mean score of speaking skill is 73,38 and the standard deviation is 5,77. It means the mean score of speaking skill is high and standard deviation is low.
The results of the validity and reliability data show that the 20 items from the questionnaire have 17 valid items and 3 invalid items.
With the result of the validity is 0,849. These results indicate that the
questionnaire tested is reliable because the Cronbach's Alpha value is more than 0,80.
While, the result of normality test, the students’ frequency of using YouTube content is 0,07 > 0,05 it means the data is normal. Although, the result of speaking test is 0,222 > 0,05 it means the data is normal. So the data for variables X and Y are normally distributed. The result of the linearity test shows that the value of Fobtained is 0.345 < Ftable 2.95, so there is a linear relationship between students' frequency of using YouTube and speaking skills.
In addition, based on the calculation and data analysis above, the score of correlation coefficient (rxy) is higher than the score of rtable. In this case, the correlation coefficient found is 0,852 and this score is compared with rtable at the level of significance 0,05. The rtable at the level of significance 0,05 obtained respectively are 0,433. Therefore, it turns out that the correlation coefficient (rxy) is higher than the score of rtable or 0,852
> 0,433. Which mean that the alternative hypothesis (Ha) is accepted and null hypothesis (Ho) is rejected.
Furthermore, based on the calculation of t-test, the score of t-test 7,09 is higher than the score of ttabel 2,093 at the level of significance 0,05.
This mean that null hypothesis (Ho) is rejected and alternative hypothesis (Ha) is accepted.
This means that there is a positive relationship and the correlation coefficient between the students' frequency of using YouTube content and
speaking skills is 0.852. The conclusion is the coefficient of determination r2 = 0.8522 = 0.72. This means that 72% of the variant of speaking skill is influenced by students' frequency of using YouTube content, while the other 18% is contributed by other factors. According to Sugiyono, there are 5 levels of relationship, there are:57
Table 4.5 5 level of relationship
No Correlation Coefficient Level of Relationship
1 0.00 – 0.199 Very week
2 0.20 – 0.399 Week
3 0.40 – 0.599 Strong enough
4 0.60 – 0.799 Strong
5 0.80 – 0.100 Very strong
Youtube as know as the largest platform of online video. Watkins
& Wilkins state, it also allows users to find, view, and share videos.58 In addition; millions of videos have been posted and shared, YouTube has several ways of finding any online videos in every area of existence. It has recently joined the education world. Alimemaj found that students’ ability on the two skills improved after using YouTube. Alimemaj’s research aimed to figure out the students’ opinion of learning language by using YouTube.59 His research results showed that students thought YouTube assist them to improve their English proficiency especially in speaking and listening. This is regarded as support for the teaching and learning process for students, teachers, and educational institutions.
57 Sugiyono. (2016). Statistik Untuk Pendidikan. Bandung: Alfabeta, cv.
58Watkins, J., & Wilkins, M. (2011). Using YouTube in the EFL classroom. Language Education in Asia, 2(1), 113-119. doi:10.5746/leia/11/v2/i1/a09/watkins_wilkins
59Alimemaj, Zamira. (2010). YouTube, language learning and teaching techniques, 2(3), 10-12
Based on it, the researcher noticed that the correlation between students’ frequency of using YouTube content and speaking skill. It indicates that there is strong correlation coefficient between variable X (students’ frequency of using YouTube content) and variable Y (speaking skill). Hence, it can be considered that the correlation coefficient between them.