Testing Overdispersion in CUBE Models
In: Communications in statistics. Simulation and computation, Band 45, Heft 5, S. 1621-1635
ISSN: 1532-4141
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In: Communications in statistics. Simulation and computation, Band 45, Heft 5, S. 1621-1635
ISSN: 1532-4141
In: Communications in statistics. Theory and methods, Band 43, Heft 4, S. 771-786
ISSN: 1532-415X
In: Communications in statistics. Theory and methods, Band 41, Heft 16-17, S. 3110-3125
ISSN: 1532-415X
In: Behaviormetrika, Band 51, Heft 1, S. 319-339
ISSN: 1349-6964
In: Socio-economic planning sciences: the international journal of public sector decision-making, Band 86, S. 101467
ISSN: 0038-0121
In: Evaluation review: a journal of applied social research, Band 48, Heft 2, S. 221-250
ISSN: 1552-3926
Program evaluations often investigate complex or multi-dimensional constructs, such as individual opinions or attitudes, by means of ratings. A different interpretation of the same question may affect cross-country comparability, leading to the Differential Item Functioning problem. Anchoring vignettes were introduced in the literature as a way to adjust self-evaluations from this interpersonal incomparability. In this paper, we first introduce a new nonparametric solution to analyse anchoring vignette data, recoding a variable based on a rating scale to a new corrected-variable that guarantees comparability in any cross-country analysis. Then, we exploit the flexibility of a mixture model introduced to account for uncertainty in the response process (the CUP model) to test if the proposed solution is effectively able to remove this reported heterogeneity. This solution is easy to construct and has important advantages compared with the original nonparametric solution adopted with anchoring vignette data. The novel indicator is applied to investigate self-reported depression in an old population. Data that will be analysed come from the second wave of the Survey of Health, Ageing and Retirement in Europe, collected in 2006/2007. Results highlight the need of correcting for reported heterogeneity comparing individual self-evaluations. Once interpersonal incomparability resulting from the different uses of response scales is removed from the self-assessments, some estimates are reversed in magnitude and signs with respect to the analysis of the collected data.
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