Normality Test Data Analysis Technique

0.2 0.5 0.8 = Smalllow effect = Mediummoderate effect = Largehigh effect

G. Statistical Hypothesis

In order to get the answer of the hypothesis above, the researcher proposed alternative hypothesis H 1 and null hypothesis H which was provided as follows: H = sig. 2-tailed of t-test 0.05 H 1 = sig. 2-tailed of t-test 0.05 Where: H : There is no effect of using Question Generation Strategy in learning reading of narrative text. H 1 : There is an effect of using Question Generation Strategy in learning reading of narrative text. If sig. 2-tailed of t-test 0.05, H null hypothesis is accepted, and H 1 alternative hypothesis is rejected. If sig. 2-tailed of t-test 0.05, H null hypothesis is rejected, and H 1 alternative hypothesis is accepted. 5 Lee A. Becker, http:web.uccs.edulbeckerPsy590es.htm retrieved on November 1 st 2016. 34

CHAPTER IV RESULT AND INTERPRETATION

This chapter discusses about result and interpretation of the study. The chapter provides the description of the data, the analysis of the data, and the interpretation of the data.

A. Result

1. The Description of the Data

After conducting the research at SMPN 1 Tambun Selatan, the writer got the data by taking students’ pre-test and post-test score on reading narrative text test. The pre-test was given before the treatment and the post-test was given after the treatment. In this research, the researcher gave treatments to both experimental class and control class about reading narrative text. In the experimental class the researcher implemented Question Generation Strategy QGS, while in the control class the researcher implemented silent reading. The Table 4.1 below showed the result of the test which was analyzed the students’ scores of pre-test and post-test in experimental class variable X. Table 4.1 Pre-test and Post-test score of Experimental Class Students X Pre-test Post test Gained score 1 88 96 8 2 48 84 36 3 72 96 24 4 56 80 24 5 84 92 8 6 56 76 20 7 64 84 20 8 76 84 8 9 64 80 16 10 68 88 20 11 68 84 16 12 68 88 20

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