Varying levels of anomie in Europe: a multilevel analysis based on multidimensional IRT models

Lara Fontanella (), Annalina Sarra (), Pasquale Valentini (), Simone Zio () and Sara Fontanella ()
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Lara Fontanella: University of Chieti-Pescara
Annalina Sarra: University of Chieti-Pescara
Pasquale Valentini: University of Chieti-Pescara
Simone Zio: University of Chieti-Pescara
Sara Fontanella: Imperial College London

AStA Advances in Statistical Analysis, 2018, vol. 102, issue 4, No 5, 589-610

Abstract: Abstract Recent years have seen increased attention paid to monitoring social anomie and its dependency on micro- and macro-factors. In this paper, we endorse the theorisation of social anomie as a complex, multidimensional and multilevel phenomenon. To ensure a rigorous measurement of the varying levels of social anomie in the European countries, the current study relies on a multilevel multidimensional item response theory model which explicitly accounts for the presence of a non-ignorable missing data mechanism. This unified approach makes it possible to specify an analytical model of links between anomie features and their determinants and to explore how the latent traits of interest are influenced by individual-level factors, as well as by country-level indicators. Additionally, to avoid misleading inferential conclusions, the proposed model takes into account the respondent’s omitting behaviour, assuming that the missingness mechanism is driven by a latent propensity to respond. Data used in this study have been collected in the 2010 wave of the European Social Survey. To reduce the computational complexities, a Bayesian specification of the MIRT model is provided and the parameter model estimates are obtained through MCMC algorithms.

Keywords: Cross-national research; Multilevel analysis; Item response theory; Missing data; Anomie (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s10182-018-0320-0

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