Table 6: The Organisation of Questionnaire for Expert Judgement No
Components of evaluation Number of item
Reference
1 The appropriateness of content
1-10 BSNP
2 The appropriateness of language
11-17 BSNP
3 The
appropriateness of
presentation 18-27
BSNP 4
The appropriateness of layout 28-35
BSNP There were also three open-ended questions that were delivered to the
materials development expert: 1.
What do you think about this unit? 2.
What aspects should be revised in this unit? 3.
What is your suggestion about this unit? The instruments used to collect the qualitative data were:
1. Interview
The interview was done when the researcher was conducting needs analysis. The interview was conducted to the students and the English teacher. In
conducting the interview, the instruments used were an interview guideline. 2.
Observation The instrument used in observation was an observation guideline.
G. Data Analysis Technique
There were two types of data gathered in this research. Those data were
analysed in two ways.
1. Quantitative data
Quantitative data came from the questionnaires. The data from the first questionnaire which was needs analysis was analysed by calculating the
percentage of each point of choice within the questions according to Suharto
2005. Then, it was described in descriptive statistic. The item which had the highest presentation was considered as the tendency of students.
The second questionnaire which was a questionnaire for the materials development expert consisted of statements and responses in the form of
Likert Scale. Likert scale wass a scale which was used to gain information from the respondents. It was used to indicate the strength of the materials
development expert’s agreement and disagreement related to the statements given. The data from expert were, then, measured using mean central
tendency and analysed using a formula proposed by Suharto 2005. The Likert Scale used in the second questionnaire uses 4 point range as follows.
Table 7: Likert Scale 4 Point Range No
Categories Score
1 Strongly Agree
4 2
Agree 3
3 Disagree
2 4
Strongly Disagree 1
The data from the expert was calculated by using a formula proposed by Suharto 2005:59 to find the range or the data interval. After that, the data
was converted into descriptive statistic. The researcher used mean X as the indicator of measurement.
Table 8: Data Conversion Table Suharto, 2005 Scale
Interval Descriptive Categories
4 3.25 ≤ X ≤ 4.00
Very Good 3
2.50 ≤ X ≤ 3.24 Good
2 1.75 ≤ X ≤ 2.49
Fair 1
1.00 ≤ X ≤ 1.74 Poor
