Chapter 4: Findings and Analysis
- Athirah Azmi
- Dec 24, 2022
- 2 min read
Updated: Jan 6, 2023
1. SPSS
Diagram 1: Demographic profiles of our respondents

We collected 125 respondents' data from Google Form which we distributed the survey through our online platforms' accounts such WhatsApp, Instagram, and Twitter.
Table 1: Crosstabulation between gender and income

The majority of respondents were female, and their income ranged from RM1,501 to RM3,000. The majority of men and respondents who wished to remain anonymous about their gender likewise fell into the RM1,501 to RM3,000 income range. As a result, the income range of RM1,501 to RM3,000 had the greatest proportion out of 125 responders.
Table 2: Correlations between age and income

A correlation test was used to determine the strength of linear relationship between two variables. We can conclude that there is positive correlation between the two variables (r = 0.079, p = 0.38) with a lower age range associated with a higher range income.
Table 3: Independent sample T-test data

An independent sample T-test was used to examine the difference in the educational level between male and female. The result showed that the educational level for male was higher as it is at M = 3.21, SD = 1.175 than educational level for female as it is at M = 2.79, SD 0.774.
2. SMARTPLS
Diagram 1: Hypothesized model

A model to examine our decided hypotheses for the study between 3 independent variables and 1 dependent variable:
Independent variables - Social Impacts (IV1), Economic Impacts (IV2), Environmental Sustainability (IV3)
Dependent variables - Living Standards of the Local Community (DV)
Diagram 2: Generated model

IV2 has the highest value of path coefficients to the DV with the value of 0.630. Meanwhile, IV3 has the lowest value of path coefficients to the DV with the value of 0.136. For this model, the sum of all path coefficients provides a r-square of 0.668 (66.8%).
Diagram 3: Re-specified model

In this model, the non-significant factor loadings with a value of below 0.5 were deleted. This include SOC3, ECO3, ENV2, and ENV3. The modified r-square has a value of 0.560 (56%).
Diagram 4: Bootstrapping model

In this model, the non-significant factor loadings with a value of below 0.5 were deleted. This include SOC3, ECO3, ENV2, and ENV3. The modified r-square has a value of 0.560 (56%).
Diagram 5: Cronbach's Alpha

The Cronbach's Alpha has a minimum acceptable value of 0.7 which means below this value, the internal consistency of the common range is poor. In the meantime, the maximum expected value is 0.9 which means anything above this value is perceived as redundancy or duplication.
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