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WhatsApp and Telegram applications. However, the researcher distributed the questionnaire to another 40 respondents consisting of C2Joy
Colostrum Milk users. Thus, the total sample of 140 respondents were taken to carry out this study.

3.3 DATA COLLECTION

In order to accomplish the process of collecting data, online survey method was used by distributing online Google Form to respondents due
to the post-COVID over the year where people are not allowed to meet each other and practice contactless. In addition, researchers use online
data collection for the purpose of obtaining information in a convenience way to reach respondents and easily accessible as well (Etikan,
Musa and Alkassim, 2016). The questionnaire will be distributed to the potential respondents through WhatsApp, Telegram and Instagram
platforms. Pilot test also were conducted among 40 samples of potential respondents for the purpose of checking the reliability of
measurement instrument before run the whole data collection process.

3.4 RESEARCH INSTRUMENT

In this research, the main instrument consists of close-ended questionnaires. Apart from that, a set of questionnaires was developed to data
collection with the multiple choice, dichotomous, and Likert scale been used in this study. The five Likert scale are used to determine the
strength of the answer. According to Vagias and Wade (2006), five levels of agreement using Likert scale are determined by using strongly
disagree = 1 point, disagree = 2, neutral = 3, agree =4, and strongly agree = 5. The questionnaire was divided in to two sections, which is
section A requires the demographic group profile of the respondents and section B is to answer independents variables (IV) and dependent
variable (DV) respectively.

3.5 DATA ANALYSIS

Data collected in this research has been analyzed using Statistical Package for Social Science (SPSS) version 26. There are variety of method
were used in the research as shown in table below.

Table 3.1: Variety of Methods of This Study

Statistical Measure Objective
Descriptive Analysis To describe the demographic profile, examine frequency and percentage of
respondents such as age, gender, race, occupation status, educational level, monthly
income.
Normality Analysis To determine whether the sample data has been normally distributed.
Reliability Analysis To test the reliability of measurement items and ensure the results is 0.7 and above.
Multicollinearity To ensure there is no issue of collinearity among the variables based on the value of
Tolerance (>0.2) and Variance Inflation Factor, VIF (<10).
Multiple Regression Analysis To analyze strongest predictor that motivate dependent variable and most significant
variable.

■ 4.0 DATA ANALYSIS

4.1 Response Rate

In this study, the sample was determined by using Hair et al. (2010) which stated a minimum number of sample size needed in research study
should be at least 100 samples. Thus, researcher of this study has collected 140 sample of respondents among consumers of dietary
supplement, C2Joy Colostrum Milk from population in Johor. According to Chung L. (2013), researcher will realize a wide range of number
on a “good” or “average” survey response rate while doing some research. This is supported by SurveyAnyplace (2018) which explained
that average response rate for all survey channels including in-person and digital is 33%. In addition, response rate with more than 20% is
being good survey response rate (Genroe, 2019). Based on the table below, the respondents obtained are higher than determined sample size
which is 40%. Therefore, the response rate of this study is considered acceptable accordingly. Table 4.1 below indicates the sample size,
usable data collected and response rate of this research.

Table 4.1: Response Rate of The Research

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