Technique of Data Analysis

Among Groups df a = k - 1 SS a = ₁ ₁ MS a = SS a k - 1 MS a MS w Within Groups df w = n - k SS w = SS tot - SS a MS w = SSw n - k Total df tot = n - 1 SS tot = - Note : F : Analysis of Variance MS : Mean Square MS a : Mean Square among groups MS w : Mean Square within groups SS : Sum of Square SS a : Sum of Square among groups SS w : Sum of Square within groups SStot : Total Sum of Square df : Degree of Freedom df b : Degree of Freedom among groups df w : Degree of Freedom within groups df tot : Total Degree of Freedom n : Number of sample k : Number of groups f : Frequency of sample f tot : Total of Frequency 14 Significant critical value : 5 0.05 14 Sugiyono, op. cit., pp. 279-280. G. STATISTICAL HYPOTHESIS Based on the data analysis above, it is formulated a hypothesis as below: 1. H 1 Alternative Hypothesis H 1 = There is significant difference of students’ reading comprehension based on their learning styles; visual, auditory and kinesthetic. 2. H Null Hypothesis H 0 = There is no significant difference of students’ reading comprehension based on their learning styles; visual, auditory and kinesthetic. The criteria of the hypothesis are: H ₁ is accepted if F-value F˳ F-table F t and probability significant sig. value 0.05 H ˳ is accepted if F-value F˳ F-table F t and probability significant sig. value 0.05 34

CHAPTER IV RESEARCH FINDINGS

A. Data Description

As mentioned in the previous chapter, the study used descriptive and inferential analysis. It investigated and analyzed three major of students’ learning styles. They are visual, auditory and kinesthetic learning styles. In this research, the learning styles will be compared with the achievement of reading comprehension in ETIS. To figure out and get the data of the study, the adopted questionnaires about learning styles were distributed to the respondents. While, ETIS reading comprehension scores of 60 students of eighth term in English Education Department were taken from Center for Language Development UIN Syarif Hidayatullah Jakarta were acquired from the documentation. Then, the data description described from the documentation of reading comprehension scores revealed the frequencies of each variables, such as total score, mean, median, mode, the highest and lowest score for students reading comprehension. Moreover, the inferential statistic reports the hypothesis test and analysis of variance ANOVA. Additionally, in this chapter, the data will be presented and described in the detail by using tables in this chapter.

1. Learning Style

In the third chapter, it had been explained that in recognizing students’ learning styles is using the questionnaires. The questionnaires are distributed to 60 students of English Education Department who joining the ETISTOEFL remedial training UIN Syarif Hidayatullah Jakarta. After that, the next step is inputting the score of questionnaire of each student to Ms. Excel 2010 and then starting to calculate or sum the score of each student. From the result, it can be determined what learning styles that students have. One of the highest score among three kinds of learning styles indicates the major learning styles that students have. T he students’ learning styles score can be seen on the tables below: Table 4.1 The Score and Classification of Students’ Learning Styles Students Learning Style 1 Kinesthetic 2 Visual 3 Visual 4 Kinesthetic 5 Visual 6 Kinesthetic 7 Kinesthetic 8 Auditory 9 Auditory 10 Auditory 11 Kinesthetic 12 Kinesthetic 13 Kinesthetic 14 Auditory 15 Kinesthetic 16 Kinesthetic 17 Visual 18 Auditory 19 Kinesthetic 20 Kinesthetic 21 Visual 22 Kinesthetic 23 Auditory 24 Visual 25 Visual 26 Kinesthetic 27 Kinesthetic 28 Visual 29 Kinesthetic 30 Kinesthetic 31 Kinesthetic 32 Kinesthetic 33 Kinesthetic 34 Kinesthetic 35 Kinesthetic 36 Kinesthetic 37 Kinesthetic 38 Visual 39 Auditory 40 Kinesthetic 41 Visual 42 Kinesthetic 43 Auditory 44 Kinesthetic 45 Kinesthetic 46 Auditory 47 Visual 48 Auditory 49 Visual 50 Kinesthetic 51 Visual 52 Kinesthetic 53 Kinesthetic 54 Auditory 55 Visual

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