1. Social Cohesion: Measurement Based on the Data from European Value Study Paul Dickes, Marie Valentova, Monique Borsenberger CEPS/Instead, Luxembourg

2. General outlines of the paper Aims: – To test empirically validity of the Bernard’s definition of social cohesion. – To construct a measurement/s of social cohesion using micro-level data. Data: – European Value Study (EVS) 1999, representative sample of the Luxembourgish population, N=1211 individuals aged 18 years and older. – EVS contains a great number of subjective and objective items that measure attitudes toward and behaviour regarding social relations, participation, and trust at many levels of social reality as well as in many spheres of everyday life, which more or less correspond to dimensions of social cohesion covered by the Bernard’s theory. Methodology: – Multidimensional scaling, Confirmatory factor analysis.

3. Theoretical framework: Bernard’s integrated conceptual scheme of social cohesion SphereNature of relations Formal / attitudinalSubstantial / behavioural Economic Case A Insertion/exclusion Case D: Equality/inequality PoliticalCase B: Legitimacy/illegitimacy Case E: Participation/passivity Socio-culturalCase C: Acceptance/rejection Case F: Affiliation/isolation

4. Operationalization: 18 indicators of social cohesion based on the EVS data Sphere Relations Formal/ attitudinalSubstantial/behavioural Economic IN01 income insertion Political IN02 Confidence in national distributive systems IN03 Confidence in national organizations IN04 Confidence in authority institutions IN05 Political adherence IN06 Intended voting participation IN11 Participation in legal political activities IN12 Participation in illegal political activities IN13 Political interest Socio- cultural IN07 Proximal solidarity IN08 Vulnerable people solidarity IN09 Family solidarity IN10 Intention of solidarity IN14 Involvement in social activities/associations IN15 Involvement in political activities/ associations IN16 Involvement in cultural activities/associations IN17 Involvement in youth and leisure activities/associations IN18 Intensity of social relations

5. MDS: Multidimensional representation of the 18 social cohesion indicators

6. Model 1: six oblique latent factors

7. Model 2: Hierarchical representation with two correlated second-order factors

8. Model 3: Hierarchical representation with two orthogonal second-order factors

9. Model 4: Hierarchical representation with one second-order factor

10. Concluding remarks Conclusions: – The results of multidimensional scaling reveal that Bernard’s conceptualisation of social cohesion can be confirmed. – Using confirmatory factor analysis, we estimated four distinctive adequate models: These four models allow us to calculate different factor scores of social cohesion, which can be used to answer different research questions and compare different population subgroups. Comments: – The indicators do not cover perfectly all dimensions of Bernard’s integral theoretical scheme. Due to the data restrictions, we used only one indicator to cover formal economic sphere and none for the substantial dimension of economic sphere. – All these above proposed measurements of social cohesion are issued from the data of one country collected at one point in time. It is necessary that in the future the above described measurement sof social cohesion could be replicated on the 2008 EVS data set and thus cross-validated across time and across countries.