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About 10,000 papers for “multidimensional analysis”

Multidimensional poverty analysis.

Mónica Pinilla-Roncancio (16469336), Gustavo Cedeño-Ocampo (16469339) · Figshare · 2023

<div><p>According to the national population Census of Colombia, 4.1 per cent of the population lives with a disability. Although information is available on the number of persons with disabilities in the country, little information exists on their levels of multidimensional poverty and deprivation, especially at the province of local level. Aiming to contribute to the analysis of the levels of poverty of persons with disabilities living at the municipal/province level, this study computes and analyses the levels of multidimensional poverty in households with and without members with disabilities in the 1.101 municipalities of Colombia. Using the 2018 national population census, we computed the percentage of people living with disabilities in each of the municipalities of the country, then we computed their levels of poverty and deprivation and analysed the difference between households with and without members with disabilities. We also analysed the availability of teachers and schools providing services for children living with disabilities and deprivations in terms of school attendance. The results reveal that households with members with disabilities are poorer than households without members with disabilities, These households present higher deprivations according to most indicators, and the intensity of their poverty is higher. In addition, households with members with disabilities usually present higher levels of deprivation in school attendance and live in municipalities where there is no provision of inclusive schools. These results highlight the importance of implementing specific policies designed to reduce the levels of poverty of persons with disabilities and their families and to guarantee their access to basic opportunities and services.</p></div>

Cited by 0Open access

Multidimensional Risk Analysis

Adiel Teixeira Almeida, Cristiano Alexandre Virgínio Cavalcante, Marcelo Hazin Alencar et al. · RePEc: Research Papers in Economics

Abstract: Accidents involve critical consequences that require an appropriate and efficient form of risk management. A multidimensional risk analysis allows a broader view. MCDM/A approaches enable more consistent decision-making, taking into account the DM’s rationality (compensatory or non-compensatory), DM’s behavior regarding risk (prone, neutral or averse) and the uncertainties inherent in the risk context. This chapter presents numerical applications illustrating the use of multicriteria models in two different contexts: a natural gas pipeline and an underground electricity distribution system. Two different MCDM/A approaches are considered: MAUT (Multiattribute Utility Theory) and the ELECTRE TRI outranking method. In the numerical applications, MCDM/A approach steps for building decision models are presented: identifying hazard scenarios, estimating the set of payoffs, eliciting the MAU function (Multi-attribute Utility function), computing the probability function of consequences and estimating multidimensional risk. Loss functions are introduced in the models to calculate the probability distribution functions over the multiple criteria such as impact on humans, and environmental and financial losses. Therefore, Decision Theory concepts are applied to estimate risk in industrial plants and modes of transportation. Finally, other decision problems related to multidimensional risk analysis, using MCDM/A, are considered in different contexts, such as: power electricity systems, natural hazards, risk analysis on counter-terrorism, nuclear power plant.

Cited by 0

Lexical Multidimensional Analysis

Tony Berber Sardinha, Shannon Fitzsimmons‐Doolan · Cambridge University Press eBooks · 2025

Lexical Multidimensional Analysis (LMDA), an extension of Biber's (1988) Multidimensional Analysis, seeks to identify dimensions (correlated lexical features across texts in a corpus) unveiling underlying patterns of lexical co-occurrence and variation within texts that are operationalized as a variety of latent, macro-level discursive constructs. Initially developed in the 2010s, LMDA has been applied to diverse domains, including education policy, national representations, applied linguistics, music, the infodemic, religion, sustainability, and literary style. This Element introduces LMDA for the identification and analysis of discourses and ideologies, offering insights into how lexis marks discourse formations and ideological alignments. Two case studies demonstrate the application of LMDA: uncovering discourses on climate change within conservative social media and analyzing ideological discourses in migrant education.

Cited by 4

Multidimensional Network analysis

COSCIA, MICHELE · Electronic Theses and Dissertations Repository (University of Pisa) · 2012

This thesis is focused on the study of multidimensional networks. A multidimensional network is a network in which among the nodes there may be multiple different qualitative and quantitative relations. Traditionally, complex network analysis has focused on networks with only one kind of relation. Even with this constraint, monodimensional networks posed many analytic challenges, being representations of ubiquitous complex systems in nature. However, it is a matter of common experience that the constraint of considering only one single relation at a time limits the set of real world phenomena that can be represented with complex networks. When multiple different relations act at the same time, traditional complex network analysis cannot provide suitable analytic tools. To provide the suitable tools for this scenario is exactly the aim of this thesis: the creation and study of a Multidimensional Network Analysis, to extend the toolbox of complex network analysis and grasp the complexity of real world phenomena. The urgency and need for a multidimensional network analysis is here presented, along with an empirical proof of the ubiquity of this multifaceted reality in different complex networks, and some related works that in the last two years were proposed in this novel setting, yet to be systematically defined. Then, we tackle the foundations of the multidimensional setting at different levels, both by looking at the basic extensions of the known model and by developing novel algorithms and frameworks for well-understood and useful problems, such as community discovery (our main case study), temporal analysis, link prediction and more. We conclude this thesis with two real world scenarios: a monodimensional study of international trade, that may be improved with our proposed multidimensional analysis; and the analysis of literature and bibliography in the field of classical archaeology, used to show how natural and useful the choice of a multidimensional network analysis strategy is in a problem traditionally tackled with different techniques.

Cited by 0Open access

Multidimensional Scale Analysis

James S. Coleman · American Journal of Sociology · 1957

A model for the simultaneous measurement of several attitudes associated with a set of dichotomous items is presented. It provides an extension of the usual scale analysis into higher dimensions, although, to date, the techniques have been worked out only for two dimensions. As an example of the applicability of the model, a set of items previously analyzed as a one-dimensional scale of "particularism-universalism," but with considerable deviation from a perfect scale, are reanalyzed. The analysis allows going beyond the original particularism-universalism continuum into a study of the relative strength of responsibility to one's friend, to a generalized other, and to one's self. This example and the nature of the model itself indicate the possibilities of this model and others based on the same underlying theory for attitude measurement.

Cited by 20