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The article offers information on the journal's invitation for submission of papers on the social psychology of precarity.

This article introduces the special issue 'Towards a Social Psychology of Precarity' that develops an orienting lens for social psychologists' engagement with the concept. As guest editors of the special issue, we provide a thematic overview of how 'precarity' is being conceptualized throughout the social sciences, before distilling the nine contributions to the special issue. In so doing, we trace the ways in which social psychologists are (dis)engaging with the concept of precarity, yet too, explore how precarity constitutes, and is embedded within, the discipline itself. Resisting disciplinary decadence, we collectively explore what a social psychology of precarity could be, and view working with/in precarity as fundamental to addressing broader calls for the social responsiveness of the discipline. The contributing papers, which are methodologically pluralistic and provide rich conceptualisations of precarity, challenge reductionist individualist understandings of suffering and coping and extend social science theorizations on precarity. They also highlight the ways in which social psychology remains complicit in perpetuating different forms of precarity, for both communities and academics. We propose future directions for the social psychological study of precarity through four reflexive questions that we encourage scholars to engage with so that we may both work with/in, and intervene against, 'the precarious'. [ABSTRACT FROM AUTHOR]

In this paper, we investigated the utility of data mining to classify individuals into predefined categories of a target variable, based on their social and political attitude. Data collected for a social psychology study conducted in Greece in 1994 were used for this purpose. We established the theoretical background of our analysis through explanatory factor analysis. We ran the decision tree algorithm CHAID in order to build a predictive model that classifies the study participants in terms of their attitude toward physical and symbolic violence. The CHAID algorithm provided a decision tree that was easily interpreted, and which revealed meaningful predictive patterns. CHAID algorithm showed satisfactory predictive ability and promising alternatives to social psychology data analysis. To the best of our knowledge, there is no other evidence in the literature that the decision tree algorithms can be used to identify latent variables. [ABSTRACT FROM AUTHOR]