Data Analysis Techniques RESEARCH METHOD
the same segments together. Finally, conclusions were made based on the grouped-segments. The results were in the form of words and sentences.
Further, in analyzing the data from the questionnaire, the researcher used descriptive statistics from the SPSS Statistical Package for the Social Science
program. Descriptive Statistics are mathematical techniques for organizing and summarizing a set of numerical data Gall.et.al, 2003: 131. It includes
frequencies, central tendency, and variability. Furthermore, the central tendency measure was applied to analyze the data
of the respondents’ responses towards the statements. Central tendency is a single numerical value is used to describe the average of an entire set of scores
Gall.et.al, 2003: 131. The researcher then analyzed the result of the respondents’ statements related to developed materials using the central tendency measure.
Since the central tendency measure consists of mean, median and mode, the data collected from the questionnaire were then presented as in following table.
Table 2: The Form of the Questionnaire Result Material Evaluation
No. Issues of Statement
N Central Tendency
Mean Median Mode 1.
2. 3.
….. …………………….
Considering that the researcher used the Likert-type Scale to collect the data from the questionnaire, each response to the statement was anchored to fire points
of agreement as follows: 1. Strongly Disagree
2. Disagree 3. Undecided
4. Agree 5. Strongly Agree
Later, to make the quantitative data easier to read, the researcher conversed to the computation results of the questionnaire into interval of mean values on a
scale of 1 to 5 as in the following table.
Table 3: Quantitative Data Conversion
Scales Categories Interval of Mean Values
Formula Computation 5 Very
Good 1.8 x
4.2 4 Good
0.6 x +
1.8 x 3.4
4.2
3 Fair 0.6 x
+ 0.6 x
2.6 3.4
2 Poor 1.8 x
0.6 x 1.8
2.6
1 Very poor
1.8 x 1.8
Proposed by Sudijono, 2003: 339
Table 3 above presents the scales and the categories of the quantitative data conversion. It also presents the formula of the interval of mean values of each aspect,
is the ideal average, and is the ideal standard derivation.
Afterwards, the researcher consulted the result of the average means values of each aspect in the questionnaire to decide whether the draft of the designed
materials was appropriate or not.