92 2. The data for the preliminary field testing stage
In this stage, the data were gathered by distributing the user validation questionnaire which consisted of 18 close-ended questions to 41 students of ICE
in Level 2 from class 2C and 2E. The data was also gathered from the expert validation questionnaire in the Development part, during the preliminary field
testing stage. The researcher distributed the expert validation questionnaire which consisted of 30 close-ended questions and 3open-ended questions to four ICE
lecturers and one native speaker teacher at PPBA of Duta Wacana Christian University.
3. The data for the main field testing stage
After that, the researcher chose ten students randomly and asked them to fill in an open-ended questionnaire to gather more in-depth information about the
students‟ response towards the implementation of the portal as the online supplementary material in ICE class level 2. Then, those data were to improve the
portal into a better online learning model for ICE program. Those techniques were used to gather the data in order to answer the research
questions proposed in the problem formulation in chapter 1.
3.5 Data Analysis Technique
After collecting the data needed for planning and designing the portal, then the researcher analyzed the data. The gathered from the questionnaires and the
interview were presented and analyzed. The data from the questionnaire were put into two categories, namely structured data from close-ended questions and
93 unstructured data from open-ended questions. Data analysis of the structured
questions was done statistically by SPSS 19. In the questionnaire, the data which were gathered from the structured questions used Likert scale. The researcher
used five point scales to collect the participants‟ opinion on the statements in the questionnaire. The description of each score has been presented in Table 3. 5.
The score of the questionnaire was processed statistically using SPSS 19. On the other hand, data analysis of the unstructured questions was done by interpreting,
summarizing and presenting the participants‟ feedback, opinions and suggestions in the form of written paragraphs.
In the development phase, after obtaining the data from the structured questions in the questionnaires, the researcher would get the data to find out how
well the learning model was developed. The data analysis of the expert validation and user validation questionnaires would be about the participants‟ agreement
toward the given statements. It was done to figure out the mean central tendency and mode most occurred value. In this research, the researcher used the score in
mean and mode to measure whether the designed materials were acceptable and good or not. The central tendency of the participants‟ opinion was indicated by the
Mean score. Best 1970: 179 classified the range of the point of agreement from 1-5 and the interpretations of point of agreement was presented in Table 3.13.
The designed learning model would be considered as acceptable material if the central tendency for each statement in the questionnaire was between the
scales of 3 - 4. It would be considered good if the range of the score is 3.75 - 5.00.
94 If the range of the score was 2.5-3.74, then the design learning model would be
considered good but still needed crucial revisions and improvements.
Table 3.13 Interpretation of the Degree of Agreement Best, 1970
To analyze the data of the second part of the expert and user validation questionnaires which were in the form of open-ended questions, the researcher
interpreted, summarized and presented the feedback, opinions, and suggestions into written paragraphs. Finally, the results of the preliminary field testing and
main field testing questionnaires were used to revise and improve the portal for ICE program in level 2.
3.6. Procedure
