摘要：AbstractThis paper integrates a set of independent social capital indicators into one index by using structural equation modeling (SEM) based on partial least squares estimation (PLS). The social capital index consists of two dimensions: participation and trust. In each of the two dimensions, three levels are distinguished: social (micro), organizational (meso), and political (macro). The main objectives of the index are to: (1) provide a coherent overview of social capital in the Netherlands; (2) monitor social capital over time; and (3) compare subpopulations.A broad spectrum of indicators is included, however, these are only weakly correlated and consequently treated as distinct. Therefore, traditional index development methods such as factor analysis and reflective modeling cannot be applied. Consequently, formative modeling in which the indicators are specified as causes rather than as effects is used. We employ the Permanent Survey on Living Conditions 2009 (POLS), administered face-to-face to 7,560 respondents in the Netherlands. We find that the index predicts well-being and health, which demonstrates nomological validity. Subsequently, bootstrapping is conducted to test the robustness of the index.
关键词：social capital index;structural equation modeling;formative indicators;partial least squares
