Citizen segment evidence
AvailableThe clustering result identifies citizen segments and shows whether any segment has lower awareness, lower availment, lower satisfaction, or higher need for action.
The clustering result identifies citizen segments and shows whether any segment has lower awareness, lower availment, lower satisfaction, or higher need for action.
The decision-tree classification uses citizen segment membership and profile variables as predictors. Most current indicator results are grouped as needs more predictors, which guides how strongly the result may be interpreted.
The strongest repeated service-stage pattern is: Respondents who were aware of the environment, and felt a need for further action, and were satisfied with the environment had a 87% likelihood of also availed the environment (Lift: 1.04). This pattern was observed together 87.2% of the time for the eligible records.
For Environmental Management, the harmonized evidence identifies this service-stage concern: Need for Action in Solid Waste Management (54.7%). The recurring factor to check is MCA Dim2 (MCA profile dimension) appears in 16 model(s) across 4 stage(s). The repeated service-stage pattern is Availment pattern: 87.2% confidence, lift 1.04. Together, these findings show whether the service-stage, citizen-segment, classification, and association-rule evidence point toward the same analytical interpretation.
Evidence agreement: strong consensus. The findings should be checked against local service records and field context before they are used for planning. Proposed actions, responsible offices, and monitoring indicators are presented separately in the Decision Support module.
This page harmonizes descriptive, clustering, classification, statistical, and association evidence for examination and validation. Proposed LGU actions are presented separately in the Decision Support module.
| Evidence Source | Main Signal | Interpretive Value | Status |
|---|---|---|---|
| Descriptive service-stage review | Need for Action in Solid Waste Management (54.7%). | Identifies the service-stage issue that should be checked first. | Available |
| Chi-square / statistical support | Sex shows strong relationship by Chi-square (effect 0.543, p=<0.001). | Shows which profile variable meaningfully separates citizen segments before planning targeted action. | Available |
| Decision Tree recurring variable | MCA Dim2 appears across 16 model(s) and 4 stage(s). | Identifies a repeated predictor that can guide validation and targeting. | Available |
| Association rule mining | Availment pattern with 87.2% confidence and lift 1.04. | Shows which service-stage responses repeatedly appear together and should be validated. | Available |
| Recurring Variable | Evidence Group | Model Coverage | Stage Coverage | Analytical Interpretation | Evidence Relevance |
|---|---|---|---|---|---|
| MCA Dim2 | MCA profile dimension | 16 models Appears in 16 indicator-level Decision Tree model(s). | 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. | This is a combined profile signal from MCA. It should be read as a summary of related respondent characteristics, not as one survey question. | Review the underlying profile traits behind this MCA signal before translating it into a specific program action. |
| Source of Information | Housing and living conditions | 15 models Appears in 15 indicator-level Decision Tree model(s). | 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. | Household conditions or information access may be linked with how citizens know about and use LGU services. | Check whether household access conditions affect service reach, communication channels, or ability to avail services. |
| MCA DimMagnitude | MCA profile dimension | 14 models Appears in 14 indicator-level Decision Tree model(s). | 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. | This is a combined profile signal from MCA. It should be read as a summary of related respondent characteristics, not as one survey question. | Review the underlying profile traits behind this MCA signal before translating it into a specific program action. |
| MCA Dim1 | MCA profile dimension | 13 models Appears in 13 indicator-level Decision Tree model(s). | 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. | This is a combined profile signal from MCA. It should be read as a summary of related respondent characteristics, not as one survey question. | Review the underlying profile traits behind this MCA signal before translating it into a specific program action. |
| Source of Drinking Water | Housing and living conditions | 13 models Appears in 13 indicator-level Decision Tree model(s). | 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. | Household conditions or information access may be linked with how citizens know about and use LGU services. | Check whether household access conditions affect service reach, communication channels, or ability to avail services. |
| Highest Educational Attainment | Socio-demographic profile | 11 models Appears in 11 indicator-level Decision Tree model(s). | 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. | This respondent profile characteristic may help explain differences in awareness, service use, satisfaction, or need for action. | Use the profile characteristic to refine target groups for information campaigns, eligibility review, or monitoring. |
| Employment Status | Socio-demographic profile | 11 models Appears in 11 indicator-level Decision Tree model(s). | 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. | This respondent profile characteristic may help explain differences in awareness, service use, satisfaction, or need for action. | Use the profile characteristic to refine target groups for information campaigns, eligibility review, or monitoring. |
| Age Group | Socio-demographic profile | 9 models Appears in 9 indicator-level Decision Tree model(s). | 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. | This respondent profile characteristic may help explain differences in awareness, service use, satisfaction, or need for action. | Use the profile characteristic to refine target groups for information campaigns, eligibility review, or monitoring. |
| 4Ps Beneficiary | Housing and living conditions | 8 models Appears in 8 indicator-level Decision Tree model(s). | 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. | Household conditions or information access may be linked with how citizens know about and use LGU services. | Check whether household access conditions affect service reach, communication channels, or ability to avail services. |
| House Ownership | Housing and living conditions | 8 models Appears in 8 indicator-level Decision Tree model(s). | 3 stages Covers 3 CSIS stage(s): Awareness, Availment, Need for Action. | Household conditions or information access may be linked with how citizens know about and use LGU services. | Check whether household access conditions affect service reach, communication channels, or ability to avail services. |
| Relationship to HH Head | Socio-demographic profile | 8 models Appears in 8 indicator-level Decision Tree model(s). | 3 stages Covers 3 CSIS stage(s): Awareness, Availment, Need for Action. | This respondent profile characteristic may help explain differences in awareness, service use, satisfaction, or need for action. | Use the profile characteristic to refine target groups for information campaigns, eligibility review, or monitoring. |
| Civil Status | Socio-demographic profile | 7 models Appears in 7 indicator-level Decision Tree model(s). | 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. | This respondent profile characteristic may help explain differences in awareness, service use, satisfaction, or need for action. | Use the profile characteristic to refine target groups for information campaigns, eligibility review, or monitoring. |
| HH Toilet Type | Housing and living conditions | 4 models Appears in 4 indicator-level Decision Tree model(s). | 2 stages Covers 2 CSIS stage(s): Awareness, Availment. | Household conditions or information access may be linked with how citizens know about and use LGU services. | Check whether household access conditions affect service reach, communication channels, or ability to avail services. |
| Sex | Socio-demographic profile | 4 models Appears in 4 indicator-level Decision Tree model(s). | 2 stages Covers 2 CSIS stage(s): Awareness, Satisfaction. | This respondent profile characteristic may help explain differences in awareness, service use, satisfaction, or need for action. | Use the profile characteristic to refine target groups for information campaigns, eligibility review, or monitoring. |
| MCA DimQuadrant High Dim1 / Low Dim2 | MCA profile dimension | 4 models Appears in 4 indicator-level Decision Tree model(s). | 2 stages Covers 2 CSIS stage(s): Availment, Need for Action. | This is a combined profile signal from MCA. It should be read as a summary of related respondent characteristics, not as one survey question. | Review the underlying profile traits behind this MCA signal before translating it into a specific program action. |
| Rule | Result Area | Repeated Pattern | Support | Confidence | Lift | Meaning | Interpretive Relevance |
|---|---|---|---|---|---|---|---|
| Rule 1 | Availment | Citizens who were aware of the environmental management, and felt a need for further action, and were satisfied with the environmental management had a 87% likelihood of also availed the environmental management (Lift: 1.04). | 32.5% seen in eligible records | 87.2% observed together | 1.04 Strong | This rule is about movement from awareness to actual service use. The linked response is observed together 87.2% of the time and appears close to the ordinary baseline rate. | Use this pattern to check whether citizens who know about Environmental Management can actually access the service. |
| Rule 2 | Satisfaction | Citizens who were aware of the environmental management, and availed the environmental management had a 94% likelihood of also were satisfied with the environmental management (Lift: 1.03). | 66.9% seen in eligible records | 94.4% observed together | 1.03 Strong | This rule is about citizen experience after service use. The linked response is observed together 94.4% of the time and appears close to the ordinary baseline rate. | Use this pattern to review service quality, frontline experience, and satisfaction drivers for Environmental Management. |
| Rule 3 | Availment | Citizens who were aware of the environmental management, and were satisfied with the environmental management had a 85% likelihood of also availed the environmental management (Lift: 1.02). | 66.9% seen in eligible records | 85.4% observed together | 1.02 Strong | This rule is about movement from awareness to actual service use. The linked response is observed together 85.4% of the time and appears close to the ordinary baseline rate. | Use this pattern to check whether citizens who know about Environmental Management can actually access the service. |
| Rule 4 | Awareness | Citizens who availed the environmental management had a 80% likelihood of also were aware of the environmental management, and were satisfied with the environmental management (Lift: 1.02). | 66.9% seen in eligible records | 80.1% observed together | 1.02 Strong | This rule is about awareness and information reach. The linked response is observed together 80.1% of the time and appears close to the ordinary baseline rate. | Use this pattern to validate where Environmental Management information campaigns or barangay communication may need strengthening. |
| Rule 5 | Availment | Citizens who were aware of the environmental management had a 79% likelihood of also availed the environmental management, and were satisfied with the environmental management (Lift: 1.02). | 66.9% seen in eligible records | 79.3% observed together | 1.02 Strong | This rule is about movement from awareness to actual service use. The linked response is observed together 79.3% of the time and appears close to the ordinary baseline rate. | Use this pattern to check whether citizens who know about Environmental Management can actually access the service. |
| Rule 6 | Satisfaction | Citizens who availed the environmental management had a 93% likelihood of also were satisfied with the environmental management (Lift: 1.01). | 77.9% seen in eligible records | 93.2% observed together | 1.01 Strong | This rule is about citizen experience after service use. The linked response is observed together 93.2% of the time and appears close to the ordinary baseline rate. | Use this pattern to review service quality, frontline experience, and satisfaction drivers for Environmental Management. |
| Rule 7 | Availment | Citizens who were aware of the environmental management, and felt a need for further action had a 85% likelihood of also availed the environmental management (Lift: 1.01). | 35.2% seen in eligible records | 84.6% observed together | 1.01 Strong | This rule is about movement from awareness to actual service use. The linked response is observed together 84.6% of the time and appears close to the ordinary baseline rate. | Use this pattern to check whether citizens who know about Environmental Management can actually access the service. |
| Rule 8 | Availment | Citizens who were aware of the environmental management had a 84% likelihood of also availed the environmental management (Lift: 1.01). | 70.9% seen in eligible records | 84.0% observed together | 1.01 Strong | This rule is about movement from awareness to actual service use. The linked response is observed together 84.0% of the time and appears close to the ordinary baseline rate. | Use this pattern to check whether citizens who know about Environmental Management can actually access the service. |
After examining and validating the harmonized evidence, continue to the Decision Support module to review planning-oriented recommendations and their traceability paths.
Open Decision Support