What influences the perception of immigration in Italian adolescents? An analysis with CUB models for rating data

Ribecco, Nunziata; D’Uggento, Angela Maria; Labarile, Angela

doi:10.1016/j.seps.2022.101295

Socio-Economic Planning Sciences

2022

DOI: 10.1016/j.seps.2022.101295

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What influences the perception of immigration in Italian adolescents? An analysis with CUB models for rating data

Nunziata Ribecco

Angela Maria D’Uggento

Angela Labarile

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2024

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Testing distributional assumptions in CUB models for the analysis of rating data

Di Iorio,

Lucchetti,

Simone

2024

AStA Adv Stat Anal

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In this paper, we propose a portmanteau test for misspecification in combination of uniform and binomial (CUB) models for the analysis of ordered rating data. Specifically, the test we build belongs to the class of information matrix (IM) tests that are based on the information matrix equality. Monte Carlo evidence indicates that the test has excellent properties in finite samples in terms of actual size and power versus several alternatives. Differently from other tests of the IM family, finite-sample adjustments based on the bootstrap seem to be unnecessary. An empirical application is also provided to illustrate how the IM test can be used to supplement model validation and selection.

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Testing distributional assumptions in CUB models for the analysis of rating data

Di Iorio,

Lucchetti,

Simone

2024

AStA Adv Stat Anal

View full text Add to dashboard Cite

show abstract

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What influences the perception of immigration in Italian adolescents? An analysis with CUB models for rating data

Cited by 1 publication

References 12 publications

Testing distributional assumptions in CUB models for the analysis of rating data

Testing distributional assumptions in CUB models for the analysis of rating data

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