Scoring on instruments try out, pre-test and post-test Data Analysis on Instrument Try Out

Rangga Darmawan, 2013 THE USE of COMIC STRIPS in IMPROVING STUDENTS’ READING COMPREHENSION of NARRATIVE TEXTS : A Quasi-Experimental Research in Eight Grade Students of a Junior High School in Bandung Universitas Pendidikan Indonesia | Repository.upi.edu | Perpustakaan.upi.edu

3.5.1 Scoring on instruments try out, pre-test and post-test

According to Arikunto 2003 there are two types of formulas that can be used in the process of scoring and data. They are punishment and formula with no punishment. This study used the formula with no punishment. S = R Where: S = Score R = Right Answer Arikunto, 2003

3.5.2 Data Analysis on Instrument Try Out

The aim of analyzing the instrument of try out was to investigate its validity, reliability, difficulty level, and discrimination level. It was uses since good instrument test was required to measure the proficiency level of English language learners.

3.5.2.1 Validity

To find out the validity of instrument items, this study conducted Pearson’ Product Moment Correlation. The calculation process used SPSS v.17.0. Correlation technique is one of the techniques that are mostly used by researchers to find out the validity of instrument items Masrun, 1979 cited in Sugiyono 2010: Rangga Darmawan, 2013 THE USE of COMIC STRIPS in IMPROVING STUDENTS’ READING COMPREHENSION of NARRATIVE TEXTS : A Quasi-Experimental Research in Eight Grade Students of a Junior High School in Bandung Universitas Pendidikan Indonesia | Repository.upi.edu | Perpustakaan.upi.edu 133. Therefore, the process of calculation follows SPSS 17.00 for windows. The criteria of validity were shown in the table 3.6.2.1: Table 3.2 r Coefficient Correlation Validity Raw Score Interpretation 0.8 – 1.0 Very high 0.6 – 0.8 High 0.4 – 0.6 Moderate 0.2 – 0.4 Low 0.0 – 0.2 Very Low Arikunto, 2002 Table 3.3 The Result of Validity Test Item Number Validity Score Interpretation 1,2,3,4,5,6,7,8,9,10,11,12,13,14, 15,16,17,19,20,21,22,23,24,25,2 6,27,28,29,30,31,32,33,34,35,36, 37,38,39,40. Correlation coefficient 0,3 Valid 18 Correlation coefficient 0,3 Not Valid Rangga Darmawan, 2013 THE USE of COMIC STRIPS in IMPROVING STUDENTS’ READING COMPREHENSION of NARRATIVE TEXTS : A Quasi-Experimental Research in Eight Grade Students of a Junior High School in Bandung Universitas Pendidikan Indonesia | Repository.upi.edu | Perpustakaan.upi.edu Based on the table above, 39 items were valid and 1 item was stated not valid. The valid items could be used as research instrument. So, the total items that could be used as the instrument in this study were 39 items.

3.5.2.2 Reliability

According to Arikunto 2003: 86 a good instrument is instruments which consistently can give data that matched with the reality Therefore, a reliability test was required to find out whether the instrument test of this study could provide consistent result of the data or not. To find out the reliability of the instrument test, this study uses two kinds of method. This study has two kinds of questions type. It was objective and subjective questions essay. To test the reliability of subjective questions essay could not use the same way as objective questions in reliability test Arikunto, 2003: 109. Therefore, Spearman-Brown formula was used to test the reliability of objective questions, number 1 to 20 and Cronbach’s Alpha was used for subjective questions from number 21 to 40. In calculating the data, SPSS v.17.0 was used in this study. Furthermore, in interpreting the result, the criteria of correlation coefficient interpretation by Sugiyono 2010 was used in this study. The result of reliability test for objective questions by conducting Spearman-Brown formula in SPSS v.17.0 showed that the instrument has moderate level of reliability. The score was at 0,532. While, the result of reliability test for subjective questions by using Cronbach’s Alpha in SPSS v.17.0 Rangga Darmawan, 2013 THE USE of COMIC STRIPS in IMPROVING STUDENTS’ READING COMPREHENSION of NARRATIVE TEXTS : A Quasi-Experimental Research in Eight Grade Students of a Junior High School in Bandung Universitas Pendidikan Indonesia | Repository.upi.edu | Perpustakaan.upi.edu showed that the instrument had very high level of reliability. The score was at 0,967.

3.5.2.3 Difficulty Index

In order to give an appropriate and acceptable test for students, analyzing the level of difficulty test items was required to be done in this study. The computation of difficulty index test on instrument try out employed Anates v.4. In interpreting the result, the criteria of difficulty index interpretation by Arikunto 2009 was used in this study. In addition, the following formula is used to calculate the index of difficulty of an item. FV= R N FV = Facility Index of difficulty R = The number of correct answers N = The number of students taking the test Table 3.4 Criteria of difficulty Index Index of Difficulty Difficulty Degree 0.00 – 0.30 Difficult item 0.30 -0.70 Moderate item 0.70 – 1.00 Easy item

3.5.2.4 Discrimination Index

Rangga Darmawan, 2013 THE USE of COMIC STRIPS in IMPROVING STUDENTS’ READING COMPREHENSION of NARRATIVE TEXTS : A Quasi-Experimental Research in Eight Grade Students of a Junior High School in Bandung Universitas Pendidikan Indonesia | Repository.upi.edu | Perpustakaan.upi.edu The discrimination index was used to measure the extent of which items that differentiate the students who gained higher scores and those who gained lower scores. To find out the discrimination index of the instrument in this study, Anates v.4 was used to calculate it. Furthermore, in interpreting the result, the criteria of discrimination index interpretation by Arikunto 2009 was used in this study. Heaton 1995: p. 179 states that the discrimination index of an item indicates the extent to which the item distinguishes between the tests, separating the more able tests from the less able. The following formula is used to calculate the discrimination index of an item: D= Correct U – Correct L n Where: D = Discrimination Index U = Upper half L = Lower half n = Number of students in one group; n= ½ N Heaton, 1995: p. 179 Table 3.5 Criteria of discrimination index Discrimination Index Interpretation 00.00 – 0.20 Poor 0.20 – 0.40 Moderate 0.40 – 0.70 Good 0.70 – 1.00 Excellent Table 3.6 Rangga Darmawan, 2013 THE USE of COMIC STRIPS in IMPROVING STUDENTS’ READING COMPREHENSION of NARRATIVE TEXTS : A Quasi-Experimental Research in Eight Grade Students of a Junior High School in Bandung Universitas Pendidikan Indonesia | Repository.upi.edu | Perpustakaan.upi.edu The Result of Discrimination Index Test Item Number Raw Score Interpretation - 0.00 D ൑ 0.20 Poor 5,7,12,13,14,15,16. 0.20 D ൑ 0.40 Moderate 1,3,4,9,19,20 0.40 D ൑ 0.70 Good 2,6,8,10,11,17,21,22,23,24,25,26,27,28,29, 30,31,32,33,34,35,36,37,38,39,40. 0.70 D ൑ 1.00 Excellent Based on the table above, there was no item that was marked “poor”. While, 7 items were marked “moderate” in discrimination index test, 6 items were stated “good” in discrimination index test, and 26 items were stated “excellent” in discrimination index test. In sum, the most items on the instrument of this study were stated “excellent” in discrimination index based on the criteria of Arikunto 2009.

3.5.3 Data Analysis on Pre-test and Post-test

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