Eustat

Eustat Euskadi.net

Seminario

Desarrollo y evaluación de indicadores compuestos

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CONTENIDOS

  1. INTRODUCTION
  2. Steps for developing composite indicators
    1. STEP 1: Developing a theoretical framework
    2. STEP 2: Selecting variables
    3. STEP 3: Imputation of missing data
    4. STEP 4: Multivariate analysis
    5. STEP 5: Normalisation of data
    6. STEP 6: Weighting and aggregation
    7. STEP 7: Robustness and sensitivity
    8. STEP 8: Back to the details
    9. STEP 9: Links to other variables
    10. STEP 10: Presentation and dissemination
  3. The case study: the Active Citizenship Composite Indicator
    1. Population by sex, age and type of household
    2. Step 1: The theoretical framework
    3. Step 2: The selection of variables
    4. Step 3: Imputation of Missing Data
    5. Step 4: Multivariate Analysis
    6. Step 5: Normalization of Data
    7. Step 6: Weighting and Aggregation
    8. Step 7: Sensitivity and Robustness Analysis
    9. Step 8: link with other indicators
    10. Step 9: Back to details
    11. Step 10: Presentation and Dissemination
  4. Summary and challenges


  5. References


  6. LIST OF TABLES
    • Table 1. Strengths and weaknesses of multivariate analysis
    • Table 2. Normalisation methods
    • Table 3. Compatibility between aggregation and weighting methods
    • Table 4. List of basic indicators for the dimension of political life
    • Table 5: Population by level of education
    • Table 5. List of basic indicators for the dimension of civil society
    • Table 6. List of basic indicators for the dimension of community life
    • Table 7. List of basic indicators for the dimension of values
    • Table 8. List of countries that have been analysed
    • Table 9. Factor loadings for the Civil Society (Protest and Social Change) Dimension
    • Table 10. Factor loadings for the Community Life dimension
    • Table 11. Factor loadings for the Democratic Values Dimension
    • Table 12. Results of the Budget Allocation approach
    • Table 13. Results of the Active Citizenship Composite Indicator
    • Table 14. Rankings of the different dimension of the Active Citizenship Composite Indicator
    • Table 15. Correlation among the different dimensions
    • Table 16. Methodological scenarios for the development of the Active Citizenship Composite Indicator (EW: Equal weights; FA: Factor Analysis; NCMC: Non-Compensatory Multi-criteria)
    • Table 17. Country rankings in each of the four dimensions of the Active Citizenship Composite Indicator and shifts in rank under three distinct methodological scenarios. Countries are listed in alphabetical order
    • Table 18. Correlation between the Active Citizenship Composite Indicator (and its four dimensions) and some indicators in the social and economic domain
  7. LIST OF FIGURES
    • Figure 1. Example of leader/laggard decomposition presentation
    • Figure 2. Example of spider diagram decomposition presentation
    • Figure 3. Example of traffic light decomposition presentation
    • Figure 4. Link between TAI and GDP per capita, 2000
    • Figure 5. Example of tabular presentation of composite indicator
    • Figure 6. Example of bar chart presentation of composite indicator
    • Figure 7. Example of line chart presentation of composite indicator
    • Figure 8. Example of trend diagram of composite indicator
    • Figure 9. Example of line chart presentation of composite indicator
    • Figure 10. Scree plot of eigenvalues for the dimension of Civil Society
    • Figure 11. Scree plot of eigenvalues for the dimension of Community Life
    • Figure 12. scree plot of eigenvalues for the dimension of Democratic Values
    • Figure 13. Dendrogram of the results of the cluster analysi
    • Figure 14. Results from the uncertainty analysis of the ACCI