Cross-Service Predictor Summary

Recurring influencing factors across the complete CSIS classification workflow.

System-wide analysis
Scope: all service areas and questions This page combines all seven service areas, all four service stages, and every available per-question Decision Tree model. It is not controlled by a service-area or question selector.
Open Question-Level Classification

Factors That Recur Across Multiple Questions

This review counts which predictors repeatedly appear with positive importance across the saved indicator-level Decision Tree models. It helps identify citizen characteristics that consistently support interpretation across service-stage outcomes.
Models Reviewed 232
Recurring Predictors 56
Most Repeated Predictor MCA Dim2
Main Predictor Group MCA profile dimension
How to interpret this summary

A recurring predictor is decision-support evidence, not proof of causation. Use it together with the indicator-level metrics, decision-tree example, clustering results, and service delivery review.

Influencing Factor Factor Group Question Models Service Areas Service Stages Mean Importance Plain Interpretation
MCA Dim2 MCA profile dimension 143 7 4 0.2408 This is a combined profile signal from MCA. It should be read as a summary of related respondent characteristics, not as one survey question.
MCA Dim1 MCA profile dimension 133 7 4 0.2698 This is a combined profile signal from MCA. It should be read as a summary of related respondent characteristics, not as one survey question.
Source of Information Housing and living conditions 119 7 4 0.1401 Household conditions or information access may be linked with how citizens know about and use LGU services.
MCA DimMagnitude MCA profile dimension 118 7 4 0.1902 This is a combined profile signal from MCA. It should be read as a summary of related respondent characteristics, not as one survey question.
Highest Educational Attainment Socio-demographic profile 102 7 4 0.134 This respondent profile characteristic may help explain differences in awareness, service use, satisfaction, or need for action.
Source of Drinking Water Housing and living conditions 102 7 4 0.131 Household conditions or information access may be linked with how citizens know about and use LGU services.
Employment Status Socio-demographic profile 77 7 4 0.0977 This respondent profile characteristic may help explain differences in awareness, service use, satisfaction, or need for action.
Age Group Socio-demographic profile 72 6 4 0.1327 This respondent profile characteristic may help explain differences in awareness, service use, satisfaction, or need for action.
Relationship to HH Head Socio-demographic profile 71 7 4 0.101 This respondent profile characteristic may help explain differences in awareness, service use, satisfaction, or need for action.
House Ownership Housing and living conditions 66 7 4 0.1147 Household conditions or information access may be linked with how citizens know about and use LGU services.
4Ps Beneficiary Housing and living conditions 55 7 4 0.0975 Household conditions or information access may be linked with how citizens know about and use LGU services.
HH Toilet Type Housing and living conditions 47 7 4 0.1056 Household conditions or information access may be linked with how citizens know about and use LGU services.
Civil Status Socio-demographic profile 42 7 4 0.111 This respondent profile characteristic may help explain differences in awareness, service use, satisfaction, or need for action.
Place of Work Socio-demographic profile 37 7 4 0.0773 This respondent profile characteristic may help explain differences in awareness, service use, satisfaction, or need for action.
Source of Electricty Housing and living conditions 31 5 4 0.0741 Household conditions or information access may be linked with how citizens know about and use LGU services.