Page 484 - Kaleidoscope Academic Conference Proceedings 2024

2024 ITU Kaleidoscope Academic Conference

5.1.4 Inter-Construct Relationships reliability among the constructs. This suggests that the level
of community participation significantly impacts the
H4a: There will be a significant negative correlation between efficacy of sustainable development initiatives. On the other
"Community Awareness" and " Policy Effectiveness " hand, "Environmental Awareness" had the lowest validity,
indicating a potential area for improvement in public
Result: The correlation between "Community Awareness" awareness campaigns.
and " Policy Effectiveness" was found to be -0.52, significant
at the p<0.05 level. Factor Loadings: The range of factor loadings for CA
suggests a strong connection between the latent variable and
H4b: There will be a significant positive correlation between its indicators. This indicates that the questions designed to
"Environmental Barrier" and "Community Awareness." assess community awareness are indeed effectively
capturing the nuances of the community's cognizance
Result: A significant correlation of 0.63 was identified regarding environmental barriers. It sets a solid ground for
between " Environmental Barriers" and "Community understanding the depth and expanse of knowledge and
Awareness," significant at the p<0.05 level. perception held by the community, which is a vital parameter
in tailoring communicative strategies for environmental
discourse.

Cronbach's Alpha: A value of 0.85, which exceeds the
generally accepted threshold of 0.70, suggests that the
indicators within the CA construct share a high degree of
common variance, making them reliable measures of the
construct. This offers a robust base for further delving into
specific aspects of community awareness in subsequent
analyses, perhaps even aiding in the nuanced development of
education modules or awareness campaigns.
Figure 1 – Confirmatory Factor Model
5.2.1 Policy Effectiveness (PE)
Table 3 – CFA Hypothesis testing
Factor Loadings: The potent factor loadings indicate that the
Hypothesis P Value Significance latent variable of PE is significantly represented by its
**Tailed indicators, signaling a strong theoretical construct. This
facilitates a nuanced understanding of how policies in place
CA-PE -0.52 **NULL Proved
are perceived in terms of their effectiveness, paving the way
CA-EB -0.63 **NULL Proved
for substantial policy critiques and reconstructions, a pivotal
area in environmental communication scholarship.
5.2 Chi-Square Test Value
Cronbach's Alpha: The alpha value reveals that the construct
In the context of CFA, the Chi-Square statistic measures the showcases remarkable internal consistency, thus indicating
difference between observed and estimated covariance
that the set of questions framed to assess policy effectiveness
matrices. Ideally, a non-significant chi-square value is are robustly designed, thereby presenting a firm ground for
desired as it would suggest that the model fits the observed
exploring policy intricacies and improvements in a grounded
data well. However, chi-square is sensitive to sample size. manner.
Chi-Square Value: χ²= 210.45
5.2.2 Environmental Barriers (EB)
Degrees of Freedom: df = 100 Factor Loadings: High factor loadings dictate that the latent
variable significantly dictates its observable variables,
Significance Level: p<0.001 underlining the construct's theoretical strength. This robust
representation promises a detailed insight into the barriers,
Given the significance level of p<0.001, the chi-square value potentially helping in the identification and rectification of
indicates a statistically significant difference between the pressing issues with a data-driven approach.
observed and model-implied covariance matrices. This could
suggest the potential need for model modification, but given Cronbach's Alpha: An alpha value of 0.90 showcases a high
the sensitivity of the chi-square test to large sample sizes, degree of internal consistency, which speaks to a reliable and
other fit indices would also be considered to well-structured set of indicators, signifying that the construct
comprehensively evaluate model fit. stands on firm methodological grounds, offering a reliable
lens to examine the barriers stifling environmental growth
Discussion: The preliminary results indicate that and understanding in rural communities.
"Community Engagement" has the highest validity and

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