Assumption Test Data Description

b. choose compare means c. choose one way anova d. fill dependent list column and factor column e. choose option f. mark on descriptive and homogeneity of variance test g. choose OK Then, the result of testing data homogeneity was as following: Table 4.3 The data was categorized as homogeneous data if the significant value was more than 0.05 and the F-value was less than the F-table. In this research, from the table above, the significant value was 0.773 and the F-value was 0.667. This data was categorized as homogeneous data because the significant value was more than 0.05 and the F-value was less than the F-table, 2.27. 3. Test of Data Linearity The data in this research was linearity tested in order to know whether the data were linearly correlated or not. The researcher used SPPS Statistical Product and Service Solution in calculating the data linearity by following these steps: a. choose analyze b. choose compare means c. choose means d. choose dependent and independent variable e. choose option f. on statistic for first layer, choose test for linearity ANOVA Table of Homogeneity Test Pretest Sum of Squares Df Mean Square F Sig. Between Groups 478.519 13 36.809 .667 .773 Within Groups 1268.677 23 55.160 Total 1747.196 36 g. choose continue h. choose OK The result of data linearity was as following: Table 4.4 ANOVA Table of linearity Test The linearity of data could be seen from a linearity significant value. If the linearity significant value was above 0,05, the data was concluded as linear data. From the table above, the value of linearity significant value was 0,654. Therefore, this data was categorized as linear data. After testing those three tests- test of data normality, test of data homogeneity, and test of data linearity- the data in this research fulfilled the requirements of parametric statistic. Hence, the researcher used parametric statistic in analyzing quantitative data.

c. Qualitative Data Description

In describing the qualitative data, the researcher elaborated the interview specifica tions with the learners’ responses in a table as following: Table 4.5 Learners’ Interview Responses No Interview Specification Response 1 Mengetahui persepsi siswa tentang pentingnya penggunaan media gambar 5 of 6 learners stated that it was needed to use media in order to Sum of Squares df Mean Square F Sig. pretest posttest Between Groups Combined 478.519 13 36.809 .667 .773 Linearity 11.384 1 11.384 .206 .654 Deviation from Linearity 467.135 12 38.928 .706 .731 Within Groups 1268.677 23 55.160 Total 1747.196 36 dalam pengajaran comparative adjectives. make the learning easier and more understandable. 1 of 6 six learners stated that it was not needed to use media because he disliked the use of pictures in learning. 2 Mengetahui persepsi siswa tentang penggunaan media gambar dalam belajar materi comparative adjectives? 5 of 6 learners stated that: - the use of pictures could create interesting, unboring, fun, and enjoyable class. - learners felt happy when learning comparative adjectives by the use of pictures. - pictures could make learning material easier and more understandable. - the use of pictures affected on their score. 1 of 6 learners states that: - the use of pictures was time consuming and made the learning material unclear. - the use of pictures did not assist in memorizing learning material. - the use of pictures did not effect on his score

2. Data Analysis

a. Quantitative Data Analysis and Hypotheses Testing

Analyzing quantitative data was conducted to answer the first research question about whether or not the use of pictures affected the learners’ score when learning comparative adjectives. Because the data of this research fulfilled the requirements of parametric statistic, the researcher used t- test formula in comparing means between two data groups, pre- test score and post- test score, for testing research hypotheses. The researcher used SPSS Statistical Product and Service Solution in analyzing the quantitative data. As the result of analyzing, the researcher provided it as follow: Table 4.6 In testing the hypotheses, the hypotheses of this research are: H : The use of pictures does not affect on learners’ score in learning comparative adjectives significantly. H ₁: The use of pictures affects on learners’ score in learning comparative adjectives significantly. Further, the criteria of testing hypotheses are: H is accepted if t-value is less than t-table. H is rejected if t-value is higher than t-table. Paired Samples Test Paired Differences t df Sig. 2- tailed Mean Std. Deviation Std. Error Mean 95 Confidence Interval of the Difference Lower Upper Pair 1 posttest - pretest 58.992 19.841 3.262 52.377 65.607 18.086 36 .000