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the role of the blueprint of the interview will make the researcher easier to codes the interview transcripts. Based on the categories of the interview protocol, the
researcher collect any utterances or expressions that represent particular themes. Highlighting particular utterances or expressions in the interview transcripts in
different colors would also become a way to categorize which utterances or expressions to be included in which categories. After the categories were all being
obtained, the researcher came to an interpretation of the results of the interview.
2. Descriptive Statistics
The descriptive statistics was used to analyze the data gathered by using Likert scale and close-ended questionnaire. In analyzing the Likert scale data, the
researcher utilized the central tendency. Brown and Rodgers 2002 state that “central tendency, the trend of a set of numbers that clusters around a particular
value, is a convenient way of summarizing data nominal categories such as Likert scale” p. 74. Therefore, the means of central tendency of every statement were
counted. The following is the appearance of the form of the questionnaire after added the column of the central tendency.
Table 3.10. The Form of the Likert Scale Results Blank
No. Statements
Frequency of Points of Agreement
Central Tendency
1 2
3 4
5 N
Mn
Notes: N
= Number of the respondents Mn
= Mean
Here is the formulation to get mean of the data: PLAGIAT MERUPAKAN TINDAKAN TIDAK TERPUJI
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X =
n x points of agreement
Notes: X = the total of the scores
n = number of the respondents who answer certain statement
Mn = Σ�
N Notes:
Σ� = The total of all of the scores
The countable technique proposed above provides the formulation for a conventional way, which is by using manual count. Furthermore, in responsible to
the close-ended questionnaire, the percentage is utilized to describe the data and summarize the data.
Furthermore, the use of Likert Scale analysis was utilized in both in planning and preliminary field testing. In planning, there were seven groups of
statements in the questionnaires, as the representations of the contents in seven units. Moreover, each group of statements has their own total mean score criteria.
The following table represents the list of the total mean score criteria.
Table 3.11. List of Total Mean Score Criteria of Questionnaires in Planning
Unit Range
Meaning
1 5.00
– 9.00 9.01
– 13.00 13.01
– 17.00 17.01
– 21.00 21.01
– 25.00 Not at all important
Slightly important Moderately important
Very important Extremely important
2 3.00
– 5.40 5.41
– 7.80 7.81
– 10.20 10.21
– 12.60 12.61
– 15.00 Not at all important
Slightly important Moderately important
Very important Extremely important
3 3.00
– 5.40 5.41
– 7.80 7.81
– 10.20 10.21
– 12.60 12.61
– 15.00 Not at all important
Slightly important Moderately important
Very important Extremely important
4 4.00
– 7.20 7.21
– 10.40 10.41
– 13.60 Not at all important
Slightly important Moderately important