Process validity Validity and Reliability

Table 3: The Validity Test Result of The Pre-Test 1 Set 1 Topic: Occupation Items r pearson Status Number 1 0.603 Valid Number 2 0.118 Invalid Number 3 0.729 Valid Number 4 0.658 Valid Number 5 0.790 Valid Number 6 0.734 Valid Number 7 0.683 Valid Number 8 -0.31 Invalid Number 9 0.695 Valid Number 10 0.790 Valid Number 11 0.603 Valid Number 12 0.729 Valid Number 13 0.152 Invalid Table 4: The Validity Test Result of The Pre-Test 2 Set 2 Topic: Publis places Items r pearson Status Number 14 0.708 Valid Number 15 0.609 Valid Number 16 0.730 Valid Number 17 0.499 Valid Number 18 0.338 Invalid Number 19 0.708 Valid Number 20 0.499 Valid Number 21 -0.243 Invalid Number 22 0.730 Valid Number 23 0.708 Valid Number 24 -0.390 Invalid Number 25 0.609 Valid Number 26 0.730 Valid A research should not only be valid but also reliable. Reliability is used to enhance the trustworthiness of the data and to avoid the subjectivity in analyzing the data. Burns 2010:97 proposed four forms of triangulation. However, this research applied only two of the triangulations. They are:

1. Time triangulation

Time triangulation means that the data are collected at different points in time. In this study, the data were collected from the month of February until April. During that period of time, the research was done in two cycles, in which each cycle consists of two meetings. In total, there were four meetings needed to conduct this research.

2. Researcher triangulation

In this triangulation, the data were collected by more than one researcher. The researcher investigated the research not only by herself, but also by the English teacher and the researcher’s colleague. This is done to avoid bias or subjectivity. Sugiyono 2013: 173 stated that an instrument can be said as reliable if the instrument had the same data when it was used more than once to the same subject. The realibility of this research is tested using the Cronbach Alpha test in the SPSS 16 computer program. The instrument can be said as reliable or not after the r cronbach is compared with the r standart . If the r cronbach is less than 0,600, the instrument is less good but still acceptable. If it was more or the same as 0,700, the instrument is good and acceptable. An instrument is good if the r cronbach is more or the same as 0,800. After analyzing the data using SPSS 16, the set 1 instrument ’s r cronbach was 0,914. Compared with the r standart which is 0,600, it meant that the set 1 instrument used in this research could be said as good. The r cronbach of the second instrument was 0.868. It also meant that the set 2 instrument was good.