Research Participants English instructional reading materials using interactive models for the tenth grade students of SMK BOPKRI 1 Yogyakarta.

Therefore, the researcher was able to design appropriate materials for students’ needs.

E. Data Analysis Techniques

According to Bogdan and Biklen 1982:145, data analysis was the process of searching and organizing the accumulated data in order to increase our understanding of the data and to enable us to present the findings to others. In this research, the research collected the data by interviewing two English teachers of SMK BOPKRI 1 Yogyakarta and distributing questionnaires for the tenth grade students of SMK BOPKRI 1 Yogyakarta. Several steps that were done in data analysis were as follows. 1. Interview The researcher conducted an interview with the teachers concerning about the difficulties in teaching reading subjects. The information obtained from the teachers through teachers’ answer then was used as a basis for designing the instructional materials. 2. Questionnaire In this research, the data gathered from the questionnaires represented the students’ need, interest and lacks toward reading subjects. The researcher used closed-ended question type of questionnaires since the answer were already available, therefore, the answer were able to be counted easily. For instance, the researcher asked the students whether they have any difficulty in reading subject or not. For about 40 of the PLAGIAT MERUPAKAN TINDAKAN TIDAK TERPUJI students answered no and 60 of the students answered yes. The percentage showed that most of the students have any difficulty in reading subject. Then the 60 are to be used as a basis to design the materials. Here, the researcher tried to design materials that make the students understand passages, dialogs, effectively. Then, the results of questionnaires were used to design appropriate materials for students. Next, the data collected from the questionnaires were counted. The researcher used descriptive statistics for analyzing the data. One of the ways to count the data was by using Central Tendency formulation. Central Tendency was the tendency of a set of numbers to cluster around a particular value. Here, the researcher used Mean, Median, and Mode. The mode, median, and mean were derived from the analysis of the data from the evaluation questionnair es. Students’ answers were counted to find the average values of the questionnaires as a basic of students’ needs. The assessment of the respondents’ opinion of the designed materials used five points of agreement: Table 3.1 The presentation of assessing respondents’ opinion using Likert Scale The data were presented in the form of table as follows. Points of Agreement Meaning 4 Strongly agree 3 Agree 2 Disagree 1 Strongly Disagree