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A Social Generativity Scale

Erik Erikson’s theory of human development defines generativity as the concern for the continuation of life after an individual’s death. According to the theory, such a concern has a wide spectrum that ranges from the desire to procreate to the willingness to contribute for the sake of generations that have yet to come, and is thus closely related to concepts of social responsibility and agency. Although this is a well-known aspect of the theory it is only marginally measured in the common quantitative measures of generativity—e.g. the Loyola Generativity Scale. In this study we present the Social Generativity Scale (SGS), which is focused on responsibility for future generation. Correlational analysis showed that the SGS is more consistently linked to future orientation than other generativity measures (i.e. measured with consideration of future consequences), inclusiveness, and political engagement, and negatively related to social dominance orientation and prejudice. The results suggest that the SGS better captures the social responsibility dimension of the generativity concept than previous measures, and for this reason it is complementary to those scales that comprehend generativity as the concern for personal continuation after death and desire of parenting.

You can download the  full article here

English, Italian, French and German translations of the SGS are available here: Social_generativity_scale


R-package GEOSPACOM now released

Geospacom is a help package for spatial analyses with the R-package spacom. It helps researchers to automatically compute distance matrices between geographical regions, and to plot context data on geographical maps without the help of dedicated  GIS software (e.g., arcGIS, Quantum-GIS, ..). Distance matrices can be computed as the euclidean distance between two points on a map or with spherical functions that approximate the Earth curvature. Hence, geospacom helps the computation and the use of collective indicators when the analytical units are placed into a physical space. The geospacom package is now available and downloadable from the CRAN of the R-project.

New SPACOM realease

The R-package spacom 1.0 has been released and downloadable from the CRAN. This new version fixes sum rough functionalities of the previous one and add functions to create spatially weighted context data when contextual indicators are aggregate estimates derived micro-level (individual) survey data. Aggregation functions can be user-defined or chosen among predefined options, which include indicators of central tendency (e.g., spatially weighted mean), dispersion (e.g., spatially weighted standard deviation) and inter-group variability (e.g., spatially weighted Gini coefficient for group inequality).

A detailed explanation of the spatial approach and an application with data from the TRACES survey can be found in the working papers Elcheroth, G., Penic, S., Fasel, R., Giudici, F., Glaeser, S., Joye, D., Le Goff, J.-M., Morselli, D., & Spini, D.. (2012)  Spatially weighted context data and their application to collective war experiences . Research Paper. LIVES Working Paper 2012/19

Research group on collective vulnerability and social change

A new research group on Collective Vulnerability and Social Change as been launched as part of the Institute of Social Sciences at the University of Lausanne. The group focuses on the way collective calamities such as war or social crisis affect the fabric of community life. The research the Collective Vulnerability and Social Change  Research Group explores the link between collective vulnerability and individual fragilities, the way traumatic experiences are shared and constructed among community members, the processes of transition from collective catastrophes to progressive social change.

Some references and resources are listed in th groups’ web page:

Applications of Latent Class Models published

Two of my studies which apply latent class analyses to the study of social psychological phenomena have now been published. The first one focuses on the dynamic between representations of obedience and disobedience in two samples of Italian and Finnish students. In this paper individual indicators for obedience and disobedience were centred on the group mean. Thus, analysis provides statistical information (i.e., significance level) about the deviance the class from the general mean of each of the indicator. In other words, it centred latent class analysis can be used to test whether certain indicators identify a specific class or not. The article appeared in the International Journal of Intercultural Relations.

The second article uses instead multilevel latent class modelling to explore data on protest from the World Values Survey.  The article  appeared in the Social Science Journal.

Papers for the ISPP Chicago conference

My papers to be presented at the ISPP conference in Chiacago are now available.

You can download them from here:

Morselli, D. (2012). Improving Tolerance with Future Time Perspective: A Longitudinal Analysis. 35th Annual Scientific Meeting of the International Society of Political Psychology (ISPP),Chicago, 6-9 July 2012. download

Morselli, D., Pratto, F., Zeineddine, B. F., Aranda, M., Stewart, A. L., Cidam, A., Foels, R., Durrheim, K., Aiello, A., Eicher, V., Licata, L., Meyer, I., Petrovic, N., Saab, R., & Sweetman, J., (2012). Social Dominance and Counter Dominance Orientation Scales (SDO/CDO): Testing Measurement Invariance. 35th Annual Scientific Meeting of the International Society of Political Psychology (ISPP),Chicago, 6-9 July 2012. download


A Multilevel Test of the Schwartz Value Structure Published in SMR

The first part of the multilevel test on the structural equivalence of the ten Schwartz value types, presented last year the the ESRA conference, has been published in Survey Research Methods. The article presents the use of multilevel structural equation modelling for corss-country reaserch on values. Some recoamndation to address the well known problem of small second-level sample size is presented

The journal is open source and the article is freely downaloadble from the following  link:

Spatially weighted models with R package SPACOM

Finally the R package SPACOM for creating spatially weighted context data for multilevel modelling is now officially published and available on CRAN.
Click here to access the page or download the guidebook

This package allows  to easily create collective indicators weighted by proximity indexes and it implements them into multilevel linear regression models. Proximity indexes may be constructed from survey and attitudinal data, introducing into the model different definition of “distance”: psychological distance, ethinc distance, social distance.

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