b. Interview Guideline
The interview guidelineconsisted of a list of questions to guide the interview process with the English teacher who has been teaching
the eleventh graders of Multimedia Study Program at SMK 2 Sewon for years. To attain the construct validity of the result from
interviewing, the data was analyzed based on the theory proposed by Miles and Huberman 1994 and the content validity was obtained
through consulting the question to the expert. There are 7 seven open-ended questions that was addressed to the English teacher at
SMK 2 Sewon. E.
Data Analysis Techniques
Since there were two types of data in this study, the data was analyzed quantitatively and qualitatively. Therefore, each type of data was analyzed by
using different techniques. 1.
Quantitative Data
Quantitative data represents the numeric data which was gained through two kinds of questionnaires. The data from first questionnaire
which was aimed to get needs analysis data was analyzed by calculating the percentage of each option in each number of statements. The answer
of which the percentage is the highest will be considered as the students‟
actual condition. The formula that is used to calculate the percentage is
presented below.
P
=
P : percentage f : frequency
N : total respondents 100: fixed number
The second quantitative data was collected from expert judgment questionnaire in order to evaluate the first draft of the material.
The statements and responds from the expert are represented in the form of Likert-scale. The responds of each item from the expert fall into four
categories.
No Categories
Scores 1
Strongly Agree SA 4
2 Agree A
3 3
Disagree D 2
4 Strongly Disagree SD
1 After that, the data gathered from the material evaluation
questionnaire were analyzed by using the formula proposed by Suharto 2005 in order to find the range or the data interval. The formula is
presented below.
R
=
Table 3.3: Respond Categories of Expert Judgment
R Xh
X1 4
: range : the highest score
: the lowest score : range of Likert-scale
The result of the calculation then is converted into descriptive statistics. It is aimed to summarize a given data set which will be long-
winded to be represented entirely. The mean x is used as the indicator of measurement. The means are calculated by using the formula proposed
by Suharto 2005 presented as follow.
M
n x
=
∑
Mn
∑
n : Mean
: total score : total number of data
As the mean of each unit evaluation score was found out, the quality of each unit was determined by deciding in which interval of
mean and category each unit belongs to.
Scales Interval of Means
Categories 1
1 ≤ x ≤ 1.74 Poor
2 1.75 ≤ x ≤ 2.24
Fair
Table 3.4: Data Conversion Table Suharto, 2005
3 2.24 ≤ x ≤ 3.24
Good 4
3.24 ≤ x ≤ 4 Very Good
2. Qualitative Data
Kategori