Social work from a social science perspective
In: South African Journal of Sociology, Band 1972, Heft 5, S. 51-55
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In: South African Journal of Sociology, Band 1972, Heft 5, S. 51-55
In: South African Journal of Sociology, Band 1972, Heft 5, S. 66-69
In: Italian Political Science Review: Rivista italiana di scienza politica, Band 40, Heft 3, S. 449-462
ISSN: 0048-8402
In this focus article the book Making Social Sciences More Scientific by Rein Taagepera is discussed. The book proposes an innovative approach to quantitative modelling, the "quantitatively predictive logical modeling". In the first contribution, the originality of this approach is discussed, through a comparison with three traditional methodological perspectives: qualitative research; rational- choice modeling; empirically-oriented quantitative research. Then, the potential of Taagepera's approach is evaluated with respect to the problem of the relationship between concepts and signs. In this regard, the non-linear, theoretically-driven construction of mathematical models advocated by Taagepera could provide a far more accurate operationalization of the conceptual models developed in the social sciences, which often feature non-linear relationships. Finally, the possibility of integrating Taagepera's suggestion with the traditional quantitative approach -- based on the generalized linear model -- is discussed, by pointing out potential problems and possible solutions. In the second contribution, Taagepera's critique of the prevalent approach to quantitative analysis of social phenomena is illustrated and commented, along with his proposal to adopt quantitatively predictive logical models as the basic analytical tool of the social sciences. Then, it is argued that, though based on sound arguments, Taagepera's critique of generalized linear regression models is somewhat too severe, since it overlooks some of regression's analytical best strengths. Adapted from the source document.
In: Italian Political Science Review: Rivista italiana di scienza politica, Band 41, Heft 3, S. 457-458
ISSN: 0048-8402
In: Italian Political Science Review: Rivista italiana di scienza politica, Band 42, Heft 1, S. 141-143
ISSN: 0048-8402
In: Italian Political Science Review: Rivista italiana di scienza politica, Band 38, Heft 1, S. 119-126
ISSN: 0048-8402
In: Italian Political Science Review: Rivista italiana di scienza politica, Band 39, Heft 3, S. 501-502
ISSN: 0048-8402
In: Italian Political Science Review: Rivista italiana di scienza politica, Band 38, Heft 1, S. 119-126
ISSN: 0048-8402
In: Italian Political Science Review: Rivista italiana di scienza politica, Band 38, Heft 1, S. 119-126
ISSN: 0048-8402
In: Rivista di studi politici internazionali: RSPI, Band 68, Heft 1, S. 136-137
ISSN: 0035-6611
In: Polis: ricerche e studi su società e politica in Italia, Band 8, Heft 1, S. 127-148
ISSN: 1120-9488
In: Quaderni di sociologia: QdS, Band 45, Heft 87, S. 89-110
ISSN: 2421-5848
We use EVS-WVS data to test our hypothesis about the contextual dependence of cohesion in Europe. In particular, we apply Bayesian Networks to describe the emergence of Social Cohesion in different welfare models. The creation of different networks for each Welfare model aims at demonstrating that a different way to manage Social Policies creates different paths of Social Cohesion. Political participations, civil engagement and positive social ties are fundamental dimensions, producing Social Capital, while social cohesion requires further dimensions too, as the presence of structural dynamics (equity, granted public services) and the increase in satisfaction. The mechanisms detected are similar enough from different areas, with interesting specificities for Mediterranean, Social-Democratic and Post-communist models.
In: Stato e mercato, Heft 3, S. 343-368
ISSN: 0392-9701
In: Polis: ricerche e studi su società e politica in Italia, Band 20, Heft 3, S. 317-346
ISSN: 1120-9488
In: Il politico: rivista italiana di scienze politiche ; rivista quardrimestrale, Band 39, S. 234-275
ISSN: 0032-325X
Summary in English.