Abstract Political ideology has regained prominence in political science and psychology. On the one hand, most of the literature recognizes that ideology is not characterized by a single dimension. On the other hand, recent scholarship has returned to Converse's classic conceptualization of ideology as a belief system: a network of interconnected political beliefs. Using survey data collected after the 2022 Italian general elections, I examine the dimensionality of political attitudes and compare latent and network conceptualizations. Results confirm that Italian political attitudes are bidimensional, and that a partial correlation network model captures their structure very well. I then apply Correlational Class Analysis to identify three distinct belief system types. Political orientations (left-right self-placement and vote) emerge as the strongest individual-level predictors of class membership. I explain these findings through an extension of Converse's theory: while he argued that belief systems primarily vary in tightness (internal consistency), I show that conflicting partisan cues might foster low belief consensus : disagreement over which attitudes should be held together.
Arturo Bertero (Thu,) studied this question.