The Data Interpretation RESEARCH METHOD

Ahmad Darmawan, 2012 The Correlation Between Students Reading Comprehension Of Indonesian fiction And Their Writing Ability Of English Narra Tive Texts Universitas Pendidikan Indonesia | repository.upi.edu 54 After the data is analyzed, the researcher can draw the interpretation as follows requirements.

3.6 The Data Interpretation

The data can be interpreted after the value of the observed r is consulted to the value of the critical r r table. In other words, the result of correlation coefficients between X and Y is consulted to Pearson Product moment table on the level of significant 5. If the observed r is bigger than the critical r at he significant level of 5, it means that there is positive correlation between two variables. Vice versa, if the observed r is lower than the critical r at he significant level of 5, it means the there is no correlation between two variables. It is explained by Gay 1987: Interpretation of a correlation coefficient depends upon how it is to be used. In other words, how large it needs to be in order to be useful depends upon the purpose for which it was computed. In a study designed to explore or to test hypothesized relationship, a correlation coefficient is interpreted in terms of its statistical significant. Then, the interpretation also tests the hypothesis by using the following criteria: a. Ho is rejected and Hi is accepted if the observed r is bigger than the critical r at the significant level of 5, it means that there is positive correlation between variable X and Y. b. Ho is accepted and Hi is rejected if the observed r is bigger than the critical r at the significant level of 5, it means that there is no correlation between variable X and Y. Ahmad Darmawan, 2012 The Correlation Between Students Reading Comprehension Of Indonesian fiction And Their Writing Ability Of English Narra Tive Texts Universitas Pendidikan Indonesia | repository.upi.edu 55 Gay 1987 proposes more explanation in interpreting the data as the following criteria: a. If the coefficient is near +1.00, the variables are positively related b. If the coefficient is near .00, the variables are not related c. If the coefficient is near -1.00, the variables are inversely related More detail interpretation is stated by Emra 1998 in the following Figure: Figure 3.3 The Interpretation of Correlation Coefficient Those interpretations are gained after facing some ordered procedures as written below. Ahmad Darmawan, 2012 The Correlation Between Students Reading Comprehension Of Indonesian fiction And Their Writing Ability Of English Narra Tive Texts Universitas Pendidikan Indonesia | repository.upi.edu 56

3.7 The Research Procedures