Zobrazeno 1 - 10
of 181
pro vyhledávání: '"Gnaldi A"'
Autor:
Gnaldi, Michela, Del Sarto, Simone
The Agenda 2030 recognises corruption as a major obstacle to sustainable development and integrates its reduction among SDG targets, in view of developing peaceful, just and strong institutions. In this paper, we propose a method to assess the validi
Externí odkaz:
http://arxiv.org/abs/2309.01462
Publikováno v:
In Socio-Economic Planning Sciences October 2024 95
Akademický článek
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Autor:
Gnaldi, Michela, Del Sarto, Simone
Time spent in leisure is not a minor research question as it is acknowledged as a key aspect of one's quality of life. The primary aim of this article is to qualify time and Internet use of Italian Generation Y beyond media hype and assumptions. To t
Externí odkaz:
http://arxiv.org/abs/1703.02329
This paper deals with the issue of ecological bias in ecological inference. We provide an explicit formulation of the conditions required for the ordinary ecological regression to produce unbiased estimates and argue that, when these conditions are v
Externí odkaz:
http://arxiv.org/abs/1509.03055
Akademický článek
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Within the educational context, a key goal is to assess students acquired skills and to cluster students according to their ability level. In this regard, a relevant element to be accounted for is the possible effect of the school students come from.
Externí odkaz:
http://arxiv.org/abs/1408.2319
Within the educational context, students' assessment tests are routinely validated through Item Response Theory (IRT) models which assume unidimensionality and absence of Differential Item Functioning (DIF). In this paper, we investigate if such assu
Externí odkaz:
http://arxiv.org/abs/1212.0378
We illustrate a class of Item Response Theory (IRT) models for binary and ordinal polythomous items and we describe an R package for dealing with these models, which is named MultiLCIRT. The models at issue extend traditional IRT models allowing for
Externí odkaz:
http://arxiv.org/abs/1210.5267
We propose a class of Item Response Theory models for items with ordinal polytomous responses, which extends an existing class of multidimensional models for dichotomously-scored items measuring more than one latent trait. In the proposed approach, t
Externí odkaz:
http://arxiv.org/abs/1201.4667