Scoring System Reliability of the Questionnaire

a. Content Validity

This validity concerns with the content details of the instruments. This validity analysis analyzes all the content of the instruments or tests whether the content of the instruments represents the material that would be measured by the instruments. The content of the test was presented by the table below: Table 2. Table of specification No Objectives Item Numbers Total Items Percentage 1 Identify the main idea 1, 8, 16, 20, 28 5 17 2 Inference 2, 12, 13, 18, 27, 29, 30 7 23 3 Reference 6, 11, 14, 23 4 13 4 Specific information 3, 4, 9, 10, 17, 21, 24, 25, 26 9 30 5 Vocabulary 5, 7, 15, 19, 22 5 17 Total 30 100

b. Construct Validity

This validity was used to the instruments which have some indicator to measure one aspect. The construct validity of the instruments are measured by evaluating the content whether all the content of the instrument concern to one aspect or not.

3.6.3 Level of Difficulties

The writer used the following formula to see the level of difficulty of the tests. It was calculated by the following formula: �� = � Notes: LD : level of difficulties R : the number of the students who answer correctly N : the total number of the students Shohamy, 1985:79

3.6.4 Discrimination Power

The writer used the following formula to see the discrimination power: �� = − Shohamy, 1985:81 The criteria were: 1. If the value is positive, it has discrimination because a large number or more knowledgeable students than poor students got the item correct. If the value was zero, it means no discrimination. 2. If the value is negative, it has negative discrimination because more low-level students than high-level students got the item correct. 3. In general, the higher discrimination index, the better, in the classroom situation most items should be higher than 0.20indexes. Shohamy, 1985:82

3.7 Data Analysis

In this research, there are two variables: independent and dependent variable. To collect the data of this research, the writer used test for two variables, they are self-esteem test and reading comprehension test. Self-esteem is the independent variable because the writer assumes that self-esteem influences the students’ reading achievement. The students’ reading achievement is classified as the dependent variable which is affected by the self-esteem. Having collected the data of two variables, the writer analyzed the data by using One-Way Anova with the significant value 0.05 that was computed by using SPSS.

3.8 Hypothesis Testing

The writer determined the criterion of the hypothesis acceptance. To decide whether the first hypothesis were accepted or rejected, the following criterion acceptance were used: H = F value F table H 1 = F value F table Notes: H o : there is no significant effect ofstudents’ self-esteem on their reading comprehension achievement H 1 : there is a significant effect of students’ self-esteem and their reading comprehension achievement

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