3.3 our research is 1,272,071 universities students in

3.3
Sampling Design

Sampling design is a
process of selecting the primary unit for the purpose of data collection and
analysis the data that is appropriate for the specific research question (Lameck,
2013).

3.3.1
Target Population

Target Population is any
inference from a sample that defined the targeted population from the sample
that is properly selected (Banerjee & Chaudhury, 2010). The targeted
population for our research is 1,272,071 universities students in Malaysia that
571,360 are the students that are male and 700,711 students are female. (See
Appendix 3.1)

3.3.2
Sampling Frame and Sampling Location

Sampling frame is using a
non-probability sampling method and it is irrelevant for the study. (Lewis et
al., 2009). At the same time, we are targeted the UTAR and TARUC are targeted
as the targeted sampling locations. The selected universities students are
deemed to representing the significant outcome to the entire population of
university students in Malaysia and making researcher drawing the samples in an
effective and efficient manner.

3.3.3
Sampling Elements

The students who are
enrolled in different course of study, programme and qualifications at the UTAR
and TARUC are the targeted respondents. Since every people are having different
views and personality, the more the result obtained, the more generalize and
accuracy of the results would be effective.

3.3.4
Sampling Technique

It is excellent to
estimation of the population characteristics by using the non-probability
sampling technique (Malhotra, 2010). The author is using the easy and
convenience sampling manner to obtaining the useful data. According to Thornhill
et al., non-probability sampling technique is the easiest type of method to
execute as it is chosen randomly until it is fulfilled on the require sampling
sizes. Hence, the questionnaires would be distributed to the targeted
university students on the google form to different Facebook group on the
haphazardly manner.

 

3.3.5
Sampling Size

According to Saunders et
al., at a 95% confidence level for population range from 500,000 to 5,000,000
are required by the minimum of sample sizes of 150 students to sufficient and
representative. Moreover, Cattell (1978) is making recommendation of minimum of
120 respondents for the research on dependent variable to be more accurately
for the independent variables between 2 to 5. We are adopted only 4 independent
variables to do the researched, we are collected the total of 150 samples that
are deemed to be sufficient and to represent the population of the sample.

Appendix
3.1

 

 

 

 

 

 

 

3.8
Conclusion

We are explained,
justified and described the methodologies would be used in chapter 3. The next
chapter we would investigate the questionnaire’s data obtained and justified
the result on our analysis on the data collected.

4.4
Conclusion

In chapter 4, we are
executed the four independent variables based on the data obtained from google
form to analysed the central tendency measurements and frequency on the
analysis. Furthermore, the method we are executed are based on Partial
Correlation Analysis, Multiple Regression Analysis and Pearson Correlation
Analysis that are proved the saving behaviour are having significant
relationship of the 4 independent variables in the research. The reliability
tests are confirmed the structure measure of our study able to produce the
consistent outcomes.

Moreover, the results
that are generated of the chapter 4 can be further discuss on the results and
explain the major findings. In next chapter, we would provide the
recommendations, limitation of the study and implications on the research
thoroughly.

 

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