Test The Technique of Data Collection

To analyze the data, the writer used Pearson Product-Moment Correlation Coefficient. 3 √ Note : r = Coefficient of correlation between X variable and Y variable N = Number of respondent = The sum of the product of X and Y scores for each students = The sum of X scores = The sum of Y scores = The sum of quadrate of each X scores = The sum of quadrate of each Y scores = The sum of quadrate of each scores = The sum of quadrate of each scores Before testing the t count the researcher made two hypotheses of signicance, they are: Ha : there is a significant correlation between two varibales Ho : there is no significant correlation between two varibales The formulation of test : a. If t count t table , it means that the null hypothesis is rejected and there is a significant correlation. b. If t count t table , it means that the null hypothesis is accepted and there is no significant correlation. 3 Budi Susetyo, Statistika Untuk Analisis Data Penelitian, Bandung: PT Refika Aditama, 2010, p.180 To interpret the index scores of “r” correlation, product moment r xy usually used the interpretation such as bellow: Table 3.9 Product Moment Correlation Index 4 ‘r’ value of product moment correlation rxy Interpretation 0.00 – 0.20 Considered as no correlation 0.20 – 0.40 Low correlation 0.40 – 0.70 Medium correlation 0.70 – 090 Strong correlation 0.90 – 1.00 Very strong correlation Moreover, the index correlation was clasified as positive correlation or negative correlation. According to cresswell, positive correlation happens if two factors have values that change in the same direction. While, negative correlation happens if two factors have values that change in the opposite direction. 5 Positive correlation means that as values of one factor increase, values of a second factor also increase. As values of one factor decrease, values of a second factor also decrease. While, negative correlation means that as values of one factor increase, values of the second factor decrease. 4 Riduwan and Sunarto, Pengantar Statistika untuk Penelitian Pendidikan, Sosial, Ekonomi,Komunikasi dan Bisnis, Bandung: Alfabeta, 2011, p.81 5 John W Creswell. Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research. New Jersey: Pearson Parantice Hall, 2008, p. 242 34

CHAPTER IV RESEARCH FINDING

A. The Description of Data

As mentioned in the research methodology, to get the data, the researcher distributed questionnaire for assessing students’ anxiety level and descriptive reading comprehension test to measure students’ reading comprehension. The researcher used the quantitative research by the correlational method. Therefore, calculations of statistic were neceserry. The table can be seen as follow: Table 4.1 Students’ anxiety From the table above shows that 46 students have high anxiety level, 5 students have medium anxiety level, and 3 students have low anxiety level. From the scores that were collected above, the researcher needed to know the statistical score. To find out mean, The Score of Students Frequency Category 101 – 125 22 High 90 – 100 15 High 80 – 89 9 High 70 – 79 5 Medium 60 – 69 3 Low Total 54