Data Collection Technique RESEARCH METHOD

materials being developed. Both quantitative and qualitative data were obtained in this research. Quantitative data were obtained from the questionnaire. The first questionnaire was given to students to gain information related to their characteristics and target needs as well as the learning needs. The second questionnaire was given to the expert to evaluate and measure the appropriateness of the interactive multimedia that was being developed. The qualitative data were obtained from the observation, interview, and the comments and suggestion from the expert. 1. Quantitative Data a. Data from Needs Analysis The data obtained from the need analysis were analysed using frequency and percentage. The item with the highest percentage was considered as the valid representation of students’ condition. P = Percentage of the item f = Collected scores observed frequency n = Number of cases expected frequency b. Data from Expert Judgment and Students ’ Feedback The data analysis technique used to analyse the data from the expert was descriptive statistic technique. The descriptive statistic technique is the statistics which is used to analyse the data by describing or explaining the collected data Sugiyono, 2004: 142. To determine the appropriateness of the multimedia, the scoring point of Likert scale was used. The data collected in the form of numbers, are then interpreted to qualitative interpretation Sugiyono, 2006: 107. The scoring point was used in the questionnaire for the expert and in the questionnaire for students. It is presented as in the table below: � = � � × Table 3: The Scoring Point of Likert Scale Scales Categories 5 Strongly Agree 4 Agree 3 Neither agree or disagree 2 Disagree 1 Strongly disagree The data in were then analysed descriptively using quantitative data conversion to determine the feasibility of the multimedia developed. This was to find out whether revisions were necessary or not. The data conversions are as follows: Table 4: Quantitative Data Conversion Sudijono, 2003: 335 Score Range Category 4,2 Very good 3,4 – 4,2 Good 2,6 – 3,4 Fair 1,8 – 2,6 Poor 1,8 Very poor 2. Qualitative Data According to Onwuegbuzie and Teddlie 2003 in Johnson and Christensen 2008: 555, qualitative data analysis procedures are involving data reduction, data display, data transformation, data correlation, data consolidation, data comparison, and data integration. Some of the steps are adapted in this research in order make interpretation of the data.