Research Procedures Construct validity

consisted of fifteen questions about the opinion of students of the use of short story as literary texts and article as non- literary text and the students’ opinion about the method that was applied in the treatment class, which was through critical reading approach in teaching reading comprehension. In the experimental class one who use literary text, the students was interviewed about their feeling when they were reading literary texts and their opinion when they used critical reading approach in reading literary texts. Meanwhile, in experimental class two who use non-literary text, the students was interviewed about their feeling when they were reading non-literary texts and their opinion when they used critical reading approach in reading literary texts.

9. Analyzing data

After the data were processed, the mean of the two classes were computed and compared by Independent group t-test. It was used to statistically determine whether there was any significant improvement on the reading comprehension ability of the participants in the experimental class one and experimental class two. The researcher used multiple choices in order to gain the objectivity of the result. There were 50 items in try out test, 20 items in pre-test and 20 items in post-test. In scoring the students ’ work, this research employed Henning’s formula.

3.4.4 Scoring System

The ideal highest score was 100. The score of pre-test and post test was calculated by using the following formula: PS = × 100 Where: PS : percentage of score R : number of the right answer N : total number of items on test Henning: 1987 In order to determine the students’ progress in comprehending the text, the students’ score computed by doing three activities: 1. Scoring the pre-test and post test 2. Tabulating the result of the test and finding the mean of the pre-test and the post test. The mean was calculated by applying the following formula: M = Notes: M = mean average score = the total students’ score = total number of students Hatch and Farhady, 1982

3.4.5 Data Analysis

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