Modern Forms of Populism and Social Policies: Personal Values, Populist Attitudes, and Ingroup Definitions in Support of Left-Wing and Right-Wing Welfare Policies in Italy.

We analyzed the relationship between modern forms of populism and citizen support for exclusive welfare policies and proposals, and we focused on support for left-wing- and right-wing-oriented welfare policies enacted or proposed during the Lega Nord (LN)–Five Star Movement (FSM) government in Italy (2018–2019). In light of the theoretical perspective of political ideology as motivated by social cognition, we examined citizens’ support for the two policies considering adherence to populist attitudes, agreement on the criteria useful to define ingroup membership, and personal values. We also took into account the role of cognitive sophistication in populism avoidance. A total of 785 Italian adults (F = 56.6; mean age = 35.8) completed an online survey in the summer of 2019 based on the following: support for populist policies and proposals, political ideologies and positioning, personal values, and ingroup boundaries. We used correlation and regression analyses. The results highlight the relationships between populism and political conservatism. Populism was related to the vertical and horizontal borders defining the “people”; cognitive sophistication was not a relevant driver. We identified some facilitating factors that could promote adherence to and support for public policies inspired by the values of the right or of the left, without a true ideological connotation

Users' support as a social resource in educational services: Construct validity and measurement invariance of the User-Initiated Support Scale (UISS)

Social support is an important resource for reducing the risks of stress and burnout at work. It seems to be particularly helpful for educational and social professionals. The constant and intense relationships with users that characterize this kind of service can be very demanding, increasing stress and leading to burnout. While significant attention has been paid to supervisors and colleagues in the literature, users have rarely been considered as possible sources of social support. The only exception is the Zimmermann et al.’ (2011) research, focused on customer support as a resource for workers’ well-being. This paper proposes the validation of the customer-initiated support scale developed by Zimmermann et al. (2011), translated into Italian and focused on educational services users (children’s parents), to measure the user support perceived by workers: the User-Initiated Support Scale (UISS). In Study 1 (105 teachers), which specifically involved educators and kindergarten teachers, the items and scale properties were preliminarily examined using descriptive analyses and exploratory factor analysis (EFA). In Study 2 (304 teachers), the construct and criterion validity and scale dimensionality were analyzed using confirmatory factor analysis (CFA). In Study 3 (304 teachers from Study 2 and 296 educators), measurement invariance was tested. The EFA results from Study 1 showed a one-factor solution (explained variance, 67.2%). The scale showed good internal coherence (alpha = .88). The CFA in Study 2 validated the one-factor solution (CFI = .987; SRMR = .054). Bivariate correlations confirmed construct validity; the UISS was positively associated (convergent) with user gratitude, and not associated (divergent) with disproportionate customer expectations. Regarding the criterion validity test, the UISS was strongly correlated with burnout and job satisfaction. The analysis of measurement invariance performed on the Study 3 data confirmed the equality of the parameters of the covariance structure model between the two samples of kindergarten teachers and educators. This research study offers a useful version of a tool for measuring a crucial, but often ignored, protective resource for all professionals working directly with people (patients, students, and service users) that can represent important sources of well-being, directly or indirectly lessening the negative impacts of job demands