IndSocDev: Measuring Social Development with Open Data
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IndSocDev: Measuring Social Development with Open Data
- 8. For example: Civic Activism Scores for Middle East and North Africa
- 25. Matching Equally Ranked Values Botswana Nigeria Tanzania Burundi Congo, DR Other countries 0.24 0.22 0.08 0.05 0.04 Botswana Tanzania Nigeria Burundi Congo, DR 0.24 0.22 0.08 0.05 0.04 % respondent participation in demonstrations, petitions, boycotts (WVS) Respondent has often attended meetings of a local development association (Afrobarometer)
- 26. Step 3: averaging matching scores to obtain index Var1 Var2 Matching Score Var3 Matching Score Var4 Matching Score Index Botswana 0.24 0.4 0.22 0.4 0.05 0.5 0.24 0.170 Nigeria 0.22 0.5 0.24 0.5 0.08 0.4 0.22 0.180 Tanzania 0.08 0.3 0.08 0.6 0.22 0.3 0.08 0.127 Burundi 0.05 0.2 0.05 0.7 0.24 N.A 0.145 Congo, DR 0.04 0.1 0.04 N.A. N.A N.A
- 30. Comparison of Matching Percentiles vs. Imputation Methods Civic Activism
- 31. Factor analysis civic activism
- 35. Gender Equality in Africa
- 36. Interpersonal Safety and Trust – Latin America and Caribbean
- 37. Residual Scatter Plot between gender equity and infant mortality, after controlling for: log GDP/capita, log GDP/capita 2 , female progression to secondary school (%), civic engagement, governance (Voice and Accountability), HIV-AIDS infection rate p = 0.000*** Gender Equality and Infant Mortality
- 38. Partial Correlation (Residual Plot) between Intergroup Cohesion and (log) rate of deaths from natural disasters.
Hinweis der Redaktion
- We now provide some detail on the method of aggregation, the Matching Percentiles
- In the first place, we compared the outcome of matching percentiles with the much more laborious imputation method This produced very similar results, which we show here for the Index Civic Activism, and other Indices had similar results
- Secondly, factor analysis was deployed, to assess the appropriateness of the indices drawn a priori from the social development indicators database based on a purely statistical criterion Factor analysis reduces the number of variables on the basis of similarity. The factors extracted from the total set of social development indicators replicate to a remarkable degree the social development indices. In other words, our distinction between 5 indices is quite similar to the one that would result from a factor analysis in which all underlying indicators would be used: very similar indices would come out, here shown for civic activism
- First, we can show trends over time, for example shown here for positive changes of gender equity in the Middle East
- And similar for other indicators, such as infant mortality