# Students’ Speaking Score The Correlation between Students’ Motivation in Learning Speaking

42 material. They try to achieve the best score in learning speaking by learn hard. Moreover, motivated students do all assignment given by teacher well. They do not postpone doing assignment as long as possible. Besides, they learn hard and follow the teaching and learning process seriously and enjoyable. However, any students are lazy to do assignment from teacher. When the teacher asked them to do assignment, they postpone as long as possible. It shows that they have low motivation in learning speaking. The last observed aspect in the classroom is students answered teacher’s question well. When the teacher asked question to motivated students, they would answer the question as well as possible. They could answer the question in English confidently. However, any students cannot answer the teacher’s question. They have no confidence to answer the question in front of teacher and other students.

#### 2. Students’ Speaking Score

In this case, the students’ speaking ability is as the dependent variable Y. To know students’ speaking score, the researcher conducted oral test to the students. The test is evaluated into five criteria; they are pronunciation, grammar, vocabulary, fluency and comprehension. The five criteria are the components of speaking skill. In this study, the students are scored based on five components of speaking skill by using the scale rating scores of David P. Harris. Here are the results of students’ speaking ability. Table 4.3 Score of Students’ Speaking Test Y Variable Students N Speaking Y 1 74 2 72 3 74 4 74 5 86 6 80 7 70 8 66 9 68 10 68 11 66 43 Table 4.4 Descriptive Statistics Speaking N Valid 30 Missing Mean 72.9667 Median 73.0000 Mode 68.00 Std. Deviation 5.68412 Range 22.00 Minimum 64.00 Maximum 86.00 From the data above, we can see that the total score from 30 respondents of students’ speaking score is 2189. By applying SPSS program, it shows that the mean of students’ speaking score is 72, the median of students’ speaking score is 73, the mode of students’ speaking score is 68, the standard deviation of students’ speaking score is 5,68, the range of students’ speaking score is 22, the minimum score of students’ speaking is 64 and the maximum score of students’ speaking is 86. 12 68 13 82 14 64 15 68 16 66 17 74 18 70 19 68 20 70 21 80 22 75 23 85 24 78 25 76 26 75 27 72 28 75 29 70 30 75 N=30 ∑Y=2189 44 Based on the result statistic above, the average speaking score is 72. It means that most of students’ speaking ability is in the medium level. It is seen from the minimum speaking score is 64 and most students got score in 72-78 score.

#### 3. The Correlation between Students’ Motivation in Learning Speaking

and their Speaking Ability . In this case, both the score of students’ motivation and students’ speaking ability are correlated by Pearson’s Product Moment formula. The data are described in the following table: Table 4.5 The Calculation of Questionnaires of Motivation and Speaking Score Students N Motivation X Speaking Y XY X 2 Y 2 1 88 74 6512 7744 5476 2 87 72 6264 7569 5184 3 87 74 6438 7569 5476 4 86 74 6364 7396 5476 5 87 86 7482 7569 7396 6 91 80 7280 8281 6400 7 88 70 6160 7744 4900 8 78 66 5248 6084 4356 9 87 68 5916 7569 4624 10 88 68 5984 7744 4624 11 86 66 5676 7396 4356 12 87 68 5916 7569 4624 13 92 82 7544 8464 6724 14 78 64 4992 6084 4096 15 83 68 5644 6889 4624 16 78 66 5148 6084 4356 17 87 74 6438 7569 5476 18 85 70 5950 7225 4900 19 82 68 5576 6724 4624 20 86 70 6020 7396 4900 21 88 80 7040 7744 6400 22 93 75 6975 8649 5625 23 87 85 7395 7569 7225 24 91 78 7090 8281 6084 25 82 76 6232 6724 5776 N=25 ∑X=2152 ∑Y=1822 ∑XY=157192 ∑X 2 =185636 ∑Y 2 =133702 45 r xy = ∑ ∑ ∑ [ ∑ ∑ ][ ∑ ∑ ² r xy = [ ] [ ] = [ ][ ] = [ ] = √ = . = 0.555 From the calculation above, it is found that r xy is 0.555. The next step is to find the significance of variables by calculating r xy is tested by significance test formula: 57 t count = √ √ In which: t count = t value r = value of correlation coefficient n = total of sample 57 Riduwan and H. Sunarto, Pengantar Statistika Pendidikan, Sosial, Ekonomi, Komunikasi, dan Bisnis, Bandung: Alfabeta, 2011, p. 81. 46 Therefore, it is calculated that: t count = √ √ = . √ √ . = . √ √ . = . . √ . = . . t count = 3.530 Before tested by t count , the writer made two hypotheses of significance: an alternative hypothesis Ha and a null hypothesis Ho. Ha = There is significant correlation between two variables. Ho = There is no significant correlation between two variables. The formulation of test: 1. If t count t table , it means that the null hypothesis is rejected and there is significant correlation. 2. If t count t table , the null hypothesis is accepted and there is no significant correlation. Based on the calculation above, the result is compared by t table in the significant 0.05 and n = 30. The writer found out the Degree of Freedom Df with the formula: Df = N – nr = 30 – 2 = 28 From Df = 28, it is obtained t table = 2.048. It means that t count is bigger than t table or 3.530 2.048. Therefore the alternative hypothesis is 47 accepted. In other words, there is significant correlation between students’ motivation in learning speaking and their speaking ability.

### C. The Interpretation of Data

After the writer calculated the data by applying the correlation of Product Moment formula and finding the result of r xy , the next level is to give interpretation of the r xy . From the analyzing data of students’ motivation in learning speaking X and students’ speaking score Y, it appeared that the correlation index between X variable and Y variable is 0.555. It means that between both variables has a medium correlation. It can be seen at simple interpretation toward the correlational index “r” Product Moment r xy on the following table: 58 Table 4.6 The Simple Interpretation of r xy . Therefore, from the calculation of both variables above and indicated to the table of interpretation of r xy above, it interprets that in both of variables has correlation. By calculation above, it indicates that between X variable and Y variable has no negative correlation. It means that both of variables have positive correlation one way correlation. It is considered that the higher motivation of students in learning speaking, the better speaking ability of students will get. In other words, students with high motivation in learning speaking will get better speaking ability. By looking at the result of r xy = 0.555, It shows in the interval 0.40 – 0.70. It indicates the gravity of correlation in this study is in the medium level. It concluded that there is medium correlation between students’ motivation in learning speaking and students’ speaking ability. It means the alternative hypothesis of the study is accepted. 58 Ibid, p. 193. “r” Product Moment rxy Interpretation 0.00 – 0.20 0.20 – 0.40 0.40 – 0.70 0.70 – 0.90 0.90 – 1.00 Very lowweak Weak Medium High Very High