3.3Sampling DesignSampling design is aprocess of selecting the primary unit for the purpose of data collection andanalysis the data that is appropriate for the specific research question (Lameck,2013). 3.
3.1Target PopulationTarget Population is anyinference from a sample that defined the targeted population from the samplethat is properly selected (Banerjee & Chaudhury, 2010). The targetedpopulation for our research is 1,272,071 universities students in Malaysia that571,360 are the students that are male and 700,711 students are female. (SeeAppendix 3.1)3.3.
2Sampling Frame and Sampling LocationSampling frame is using anon-probability sampling method and it is irrelevant for the study. (Lewis etal., 2009).
At the same time, we are targeted the UTAR and TARUC are targetedas the targeted sampling locations. The selected universities students aredeemed to representing the significant outcome to the entire population ofuniversity students in Malaysia and making researcher drawing the samples in aneffective and efficient manner.3.
3.3Sampling ElementsThe students who areenrolled in different course of study, programme and qualifications at the UTARand TARUC are the targeted respondents. Since every people are having differentviews and personality, the more the result obtained, the more generalize andaccuracy of the results would be effective. 3.3.4Sampling TechniqueIt is excellent toestimation of the population characteristics by using the non-probabilitysampling technique (Malhotra, 2010). The author is using the easy andconvenience sampling manner to obtaining the useful data. According to Thornhillet al.
, non-probability sampling technique is the easiest type of method toexecute as it is chosen randomly until it is fulfilled on the require samplingsizes. Hence, the questionnaires would be distributed to the targeteduniversity students on the google form to different Facebook group on thehaphazardly manner. 3.3.
5Sampling SizeAccording to Saunders etal., at a 95% confidence level for population range from 500,000 to 5,000,000are required by the minimum of sample sizes of 150 students to sufficient andrepresentative. Moreover, Cattell (1978) is making recommendation of minimum of120 respondents for the research on dependent variable to be more accuratelyfor the independent variables between 2 to 5. We are adopted only 4 independentvariables to do the researched, we are collected the total of 150 samples thatare deemed to be sufficient and to represent the population of the sample.Appendix3.1 3.8ConclusionWe are explained,justified and described the methodologies would be used in chapter 3.
The nextchapter we would investigate the questionnaire’s data obtained and justifiedthe result on our analysis on the data collected.4.4ConclusionIn chapter 4, we areexecuted the four independent variables based on the data obtained from googleform to analysed the central tendency measurements and frequency on theanalysis. Furthermore, the method we are executed are based on PartialCorrelation Analysis, Multiple Regression Analysis and Pearson CorrelationAnalysis that are proved the saving behaviour are having significantrelationship of the 4 independent variables in the research.
The reliabilitytests are confirmed the structure measure of our study able to produce theconsistent outcomes.Moreover, the resultsthat are generated of the chapter 4 can be further discuss on the results andexplain the major findings. In next chapter, we would provide therecommendations, limitation of the study and implications on the researchthoroughly.