Culture plays a central role in society. It supports inclusion, identity, and civic participation, while also contributing to economic activity and political engagement. Therefore, using appropriate tools to measure Cultural Engagement (CE) is crucial. In this paper, a set of composite indicators to measure cultural participation is developed, starting from individual involvement in a range of cultural activities. Traditional methods—such as weighted and unweighted averages and Principal Component Analysis (PCA)—and a different approach based on Item Response Theory (IRT) are compared. These methods are examined in terms of interpretability and key features, looking across Italian regions and population subgroups, with attention to education, economic resources, and gender. The analysis relies on nine waves (2014–2022) of the Aspects of Daily Life survey by the Italian National Institute of Statistics (ISTAT). While classical methods tend to be more intuitive and easier to read, the IRT-based approach offers distinct advantages, especially when analyzing individual cultural activities. Overall, the IRT approach enriches a body of literature that has, so far, offered limited tools for measuring CE
Which Indicator Best Measures Cultural Engagement? A Comparative Analysis / Alessandro Gallo, Francesca Giambona, daniele Vignoli. - In: SOCIO-ECONOMIC PLANNING SCIENCES. - ISSN 0038-0121. - ELETTRONICO. - (2025), pp. 1-9. [10.1016/j.seps.2025.102379]
Which Indicator Best Measures Cultural Engagement? A Comparative Analysis
Alessandro Gallo;Francesca Giambona
;daniele Vignoli
2025
Abstract
Culture plays a central role in society. It supports inclusion, identity, and civic participation, while also contributing to economic activity and political engagement. Therefore, using appropriate tools to measure Cultural Engagement (CE) is crucial. In this paper, a set of composite indicators to measure cultural participation is developed, starting from individual involvement in a range of cultural activities. Traditional methods—such as weighted and unweighted averages and Principal Component Analysis (PCA)—and a different approach based on Item Response Theory (IRT) are compared. These methods are examined in terms of interpretability and key features, looking across Italian regions and population subgroups, with attention to education, economic resources, and gender. The analysis relies on nine waves (2014–2022) of the Aspects of Daily Life survey by the Italian National Institute of Statistics (ISTAT). While classical methods tend to be more intuitive and easier to read, the IRT-based approach offers distinct advantages, especially when analyzing individual cultural activities. Overall, the IRT approach enriches a body of literature that has, so far, offered limited tools for measuring CE| File | Dimensione | Formato | |
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