An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data

Tenenhaus, Michel; Young, Forrest W.

doi:10.1007/bf02294151

Cited by 363 publications

(197 citation statements)

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“…É assim uma estatística de redução dos dados, pela análise de correspondência múltipla, com uma série de variáveis, todas nominais múltiplas. Enfim, o procedimento HOMALS analisa a relação de homogeneidade entre as variáveis (das colunas e das linhas) em duas dimensões, produzindo projeções correspondentes, sendo o mais importante a projeção das quantificações das categorias (para maiores detalhes ver De Leeuw & Van Rijckevorsel, 1980;Guttman, 1941;Tenenhaus & Young, 1985). Na Figura 1, por exemplo, pode-se observar a proximidade entre a série e o nível de realismo nominal.…”

Section: Resultsunclassified

Realismo nominal no processo de alfabetização de crianças e adultos

Nobre¹,

Roazzi²

2011

Psicol. Reflex. Crit.

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ResumoEste estudo teve como objetivo avaliar a influência do realismo nominal nas atividades de leitura, escrita e matemática. Foram examinadas 39 crianças da primeira, segunda e quarta séries e 15 adultos da primeira etapa do primeiro ciclo da Educação de Jovens e Adultos. A amostra foi submetida a atividades de realismo nominal, matemática e leitura e escrita de palavras e pseudopalavras. Os dados indicaram que o realismo nominal está relacionado significativamente com as variáveis leitura, escrita e matemática. Tais resultados reafirmam a interferência do realismo nominal no desempenho em leitura e escrita, e sugerem a correlação do mesmo nas atividades matemáticas. Palavras-chave: Realismo nominal; Matemática; Leitura; Escrita. AbstractThe aim of this study was to evaluate the relation among nominal realism and reading, writing as well as mathematics activities. Participants were thirty-nine children of the first, second and fourth grades and fifteen adults at the first stage of the first cycle of adult and young education. The tasks used were reading, spelling words and pseudo-words, nominal realism and mathematics. Results indicate that nominal realism is significantly related to reading, writing and mathematics. These findings reaffirm the interference of nominal realism in reading and spelling activities, and indicate also a strong correlation with mathematical abilities. Keywords: Nominal realism; Mathematics; Reading; Writing.* Endereço para correspondência: Universidade Federal de Pernambuco, Centro de Ciências Humanas, Rua Acadêmico Hélio Ramos, s/n, Cidade Universitária, Recife, PE, Brasil, CEP 50670-901. E-mails: alenacabral@yahoo.com.br e roazzi@gmail.com O realismo nominal é uma característica do pensamento infantil em função do qual a criança expressa dificuldades em dissociar o signo da coisa significada (Piaget, 1962). O sujeito que, em determinado momento do desenvolvimento cognitivo, apresenta este pensamento realista nominal, tende a conceber a palavra como parte integrante do objeto, atribuindo ao signo características do objeto ao qual se refere. Piaget (1962) conceituou dois tipos de realismo nominal: o ontológico e o lógico.O realismo nominal ontológico consiste na confusão da existência, origem e localização das palavras com os objetos a que elas se referem. Questionando crianças entre 5 a 6 anos sobre esses aspectos, Piaget (1962) percebeu que elas acreditavam que os nomes emanavam das coisas e que se localizavam, de forma invisível, no pró-prio objeto. Algumas crianças, por exemplo, afirmavam ser necessário apenas olhar para o sol para saber que ele se chamava 'sol'.Já o realismo nominal lógico caracteriza-se pela atribuição de um valor lógico intrínseco à palavra. Uma das perguntas sugeridas por Piaget (1962) para avaliar este tipo de realismo nominal era a seguinte: "Poderíamos chamar o 'sol' de 'lua' e a 'lua' de 'sol'?". As crianças que se encontravam nesse nível afirmavam não ser possí-vel chamar o 'sol' de 'lua' porque o sol é grande e brilhante e não poderia diminuir para fica...

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Section: Resultsunclassified

Realismo nominal no processo de alfabetização de crianças e adultos

Nobre¹,

Roazzi²

2011

Psicol. Reflex. Crit.

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“…Consequently, ordinary Principal Components Analysis (PCA) should not be applied. Instead, we used Categorical PCA (CATPCA, Meulman et al, 2004;Linting et al, 2007), which relies on an alternating least squares scheme (Tenenhaus and Young, 1985). In Categorical PCA both a quantification of the original variables and a decomposition of the multidimensional space are achieved.…”

Section: Appendix 1 -Categorical Principal Components Analysismentioning

confidence: 99%

The Impact of Long-term Scientific Mobility on the Creation of Persistent Knowledge Networks

2013

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International scientific mobility is a strategic element in the science policies of several countries, being often equated with the development of extensive knowledge networks that can be mobilised by the scientists (and their organisations) upon their return. The objective of this paper is to understand whether and in which conditions mobility leads to the development of knowledge links that are long lasting and effectively play a key role in scientists' activities. In conceptual terms, the influence of mobility is explained through the opportunities it provides for temporary co-location in one organisation, and thus for the creation of social, cognitive and organisational proximity between scientists, which are critical for knowledge transmission and which can persist after the individuals draw apart. This conceptual framework supports an empirical analysis of the impact of two types of long term mobility -for training and professional purposes -on the creation of "persistent knowledge networks", in the case of Portuguese scientists. The results show that mobile scientists are more likely to have foreign organisations in their core knowledge network. Even more importantly, they reveal a high incidence of organisations that were part of the scientists' trajectory in these networks, providing some confirmation to the effects of colocation. However, these effects are not always present: the research also identifies some factors -related with personal characteristics, career situation, scientific field, time, geographical distance, motivations to move -that increase the likelihood of network persistence, which differ for the two types of mobility. AcknowledgmentsResearch conducted in the context of the project MOBISCIENCE: Scientists´mobility in Portugal: trajectories and knowledge circulation (PTDC/ESC/64411/2006), funded by the Fundação para a Ciência e Tecnologia, whose support is gratefully acknowledged.2

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“…In our work, we focus on a subclass of dimensionality reduction methods known as Multiple Correspondence Analysis (MCA). This technique has been known under other names [46] and is particularly suitable for categorical data, as opposed to the more general multidimensional scaling (MDS) techniques which address numerical data. MCA results are usually visualized with 2D or 3D scatterplots.…”

Section: Visual Analytics Solutionsmentioning

confidence: 99%

Decision Exploration Lab: A Visual Analytics Solution for Decision Management

Broeksema

Baudel

Telea

et al. 2013

IEEE Trans. Visual. Comput. Graphics

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Fig. 1. Decision Exploration Lab in visual querying mode, with the DataSpace tree (A), the Decision Map (B) and the Rule Triggering view (C).Abstract-We present a visual analytics solution designed to address prevalent issues in the area of Operational Decision Management (ODM). In ODM, which has its roots in Artificial Intelligence (Expert Systems) and Management Science, it is increasingly important to align business decisions with business goals. In our work, we consider decision models (executable models of the business domain) as ontologies that describe the business domain, and production rules that describe the business logic of decisions to be made over this ontology. Executing a decision model produces an accumulation of decisions made over time for individual cases. We are interested, first, to get insight in the decision logic and the accumulated facts by themselves. Secondly and more importantly, we want to see how the accumulated facts reveal potential divergences between the reality as captured by the decision model, and the reality as captured by the executed decisions. We illustrate the motivation, added value for visual analytics, and our proposed solution and tooling through a business case from the car insurance industry.

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An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data

Abstract: multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis, categorical multivariate data,

Cited by 363 publications

References 21 publications

Realismo nominal no processo de alfabetização de crianças e adultos

Realismo nominal no processo de alfabetização de crianças e adultos

The Impact of Long-term Scientific Mobility on the Creation of Persistent Knowledge Networks

Decision Exploration Lab: A Visual Analytics Solution for Decision Management

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