Presentation of the Raw Data
did not join the pretest were not included as the sample. In other words, there were 28 students became the sample of the data.
Referring to the classification of scores Chapter III, the scores of the pretest were as follows.
Table 4.3 The Classification of The Pretest Scores
Category Scores Number of
students Percentage
1 Very good
9-10 1 3.6 2
Good 8 – 8.9
4 14.3
3 Sufficient
6.5 – 7.9 10
35.7 4
Bad 5.5 – 6.4
5 17.6
5 Very bad
…. 5.5 8
28.6
From the data above, it is obviously seen that there were various kinds of the students’ scores. The score ranged from 10 to 90. It means that there was a very big
gap. There was only one student or 3.6 from 28 students who was able to achieve very good predicate. In other words, there was only one student whose reading
comprehension was good. Four students or 14.3 of the whole class got 8 – 8.9, which means that they achieved good predicate. Most students of the class achieved
sufficient predicate. It was proved from the data that 10 students or 35.7 of the students got 6.5 – 7.9. Five students or 17.6 of the class were categorized in the
lower part. They got score 5.5 – 6.4, which means bad predicate. There were 8 students stayed in the lowest part. Their scores were below 5.5. It means that 28.6
of 28 students were considered weak with very bad predicate. It showed that their ability in comprehending texts was still weak.
Having known the data of the pretest result, which showed that very few students achieved good scores, the researcher wanted to see whether the treatment,
which is the implementation of self-questioning strategy, could improve the students reading comprehension. It could be seen by the data got from the posttest result. If the
scores of the posttest were higher than the scores of the pretest, it means that the treatment could bring positive effects to the students’ reading comprehension.