III METHODS
In order to deal with concept of research method, this chapter discusses design, population and sample, data collecting technique, procedure, validity and
reliability, research instrument and data analysis. They are described as in the following.
3.1 Design
A descriptive quantitative research design was used in this research to know the perception of the students on the implementation of the 2013 curriculum.
3.1.1 Quantitative Research Design
Quantitative research is “a systematic process of obtaining formal objective data to describe the variables and their relationships. Quantitative research uses
structured tools to generate numerical data and uses statistics to interpret, organize and represent the collected data” Burns Grove 2001:30. In this
study, the research design was quantitative as the researcher used questionnaire to collect data from the respondents. This method allows the researcher to ask
all the respondents the same questions with predetermined responses, which allows objective data to be collected. The researcher also used mean and
standard deviation as the process of drawing information from sampled observations of a population and making conclusions about the population.
a. The Mean
For a data set, the mean is the sum of the observations divided by the number of observations. It identifies the central location of the data.
The mean is calculated using the following formula.
M = Where Σ = Sum of
X = Individual data points
N = Sample size number of data points
b. The Standard Deviation
The standard deviation is the most common measure of variability, measuring the spread of the data set and the relationship of the mean to
the rest of the data. If the data points are close to the mean, indicating that the responses are fairly uniform, then the standard deviation will be
small. Conversely, if many data points are far from the mean, indicating that there is a wide variance in the responses, then the standard
deviation will be large. If all the data values are equal, then the standard deviation will be zero. The standard deviation is calculated using the
following formula.
S
2
=
