Page 649 - MARSIUM'21 COMP OF PAPER

Qamarina & Zuraidah (2022)

Diploma 9 6.3
Bachelor’s Degree 108 75.5

Master 17 11.9
PHD/DBA 4 2.8
Others 1 0.7
RM0 – RM1000 104 72.7

RM1001 – RM3000 29 20.3
RM3001 – RM5000 4 2.8
Monthly Income
RM5001 – RM7000 2 1.4

RM7001 – RM9000 3 2.1

RM9001 and above 1 0.7
Full- time employment 16 11.2

Part-time employment 4 2.8
Current Employment Unemployed 3 2.1
Status
Self-employed 2 1.4

Student 118 82.5

4.1 Independent Sample T-test

An independent-samples t-test was used in this study to assess the impact of the intervention, which was an online campaign,
on the dependent variable. Thus, the p-value should be less than 0.05 (p < 0.05) to be significant and to demonstrate the
effectiveness of the intervention on the dependent variable. According to table 4.3, there was a significant increase from pre
intervention (M=3.4042, SD= 0.89047) to post intervention – awareness campaign (M=3.7538, SD= 0.84710). The sig (2-
tailed) is 0.001, and the significant value is less than 0.05, indicating that there is a significant difference between pre and post
intervention – awareness campaign.
Table 4.3: Independent Sample T-Test Result for Pre and Post intervention

Gender Results
T-test Sig. (2-tailed) 0.001 (p < 0.05)
Pre 3.40
Mean Post 3.75

4.2 Scale Measurement

4.2.1 Normality Test

A normality test is a method used to determine whether a sample or group of data fits a standard normal distribution. Normality
tests are used in statistics to determine whether a given set of data is well-defined by a normal distribution. According to Hair
et al. (2010) claimed that the data can be considered acceptable for a normal distribution if the p-value of each item is range
between -2 to +2 for skewness test and is between -7 to +7 for kurtosis test. According to table 4.4, the normality test results
for all variables are normally distributed. Skewness and Kurtosis values are considered acceptable because all the values fall
within the ideal range of -2 to +2 for skewness and -7 to +7 for kurtosis test.
Table 4.4: Normality Test

Std.
Mean Skewness Kurtosis
Deviation
Brand Awareness Statistic 3.4042 .89047 -.529 .371
Standard
Error .07446 .203 .403
Brand characteristics Statistic 3.1329 1.10541 -.245 -.795

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