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EN
Presented paper deals with the implementation of multidimensional statistical methods used to compare the financial health of selected global steel producers. We show the evolution of the steel industry in years 2003 – 2007 using factor analysis, multidimensional scaling and cluster analysis. Results of implemented multidimensional statistical methods are transparently and clearly presented with simple two-dimensional graphical output. The methodology for implementation of various analyses allows us to give satisfactory answers to many questions related to the identification of financial health, but also a business failure or bankruptcy prediction. The above method can be also used for the other industries based on available data.
EN
The article is seeking to carry out two tasks: formulation of principles of theoretical validation; and description of the strategy of concept mapping as a procedure applicable at the initial stages of theoretical validation. The author singles out such principles of theoretical validation: socio-cultural relevance; concept-based representativeness and significance; operationalization; temporal and socio-spatial orderliness; the complexity and cohesion of qualitative and quantitative approaches. The strategy of such a reconciliation of concepts is the structured process focused on the research conception or theme. It is a framework of producing conceptual map by the group of participants of the discussion. This method allows research participants to think more effectively as a collective subject without losing their individuality. The method is intended to particularize the basic idea of the prospective research and give it in detail. The concept mapping procedure is to be executed in six stages: preparation, statements (propositions) generation, statements (propositions) structuration, presentation of statements (propositions) on a conceptual map, interpretation, and application.
EN
The presented study is the first attempt to verify the Schwartz's circular model of value structure in middle childhood. Previous studies have verified the model in adulthood and adolescence, and most recently – thanks to the method called Picture Based Value Survey by Döring (Döring et al., 2010) - even in late childhood. However, to date there was a lack of adequate testing methods for younger children. To verify the hypothesis of the circular structure of value in middle childhood, we have developed a method called the Puppet Values Interview, inspired by the Berkeley Puppet Interview (Measelle, Ablow, Cowan, Cowan, 1998). The study was conducted individually and 60 children aged from 4 to 6 years participated in it. Multidimensional scaling obtained from the results supported the hypothesis about the circular structure of values and the possibility of dividing the continuum into four higher order values: self-transcendence, self-enhancement, openness to change and conservation.
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2012
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vol. 19
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issue 3
21-26
EN
The article presents application of multidimensional scaling and clustering of symbolic interval-valued data for car market data. In the paper such terms as product positioning, symbolic variable and symbolic data are explained. Also the main aspects of multidimensional scaling and clustering for this kind of data are presented. In the empirical part results of product positioning are presented.
EN
This paper proposes a new method of idiographic measurement for dynamic assessment (DA) intervention. There are two main methods of measurement for DA intervention; split–half tests and integrated scoring systems. Split-half tests of ability have proved useful from a research perspective. Integrated scoring systems coupled with case studies are useful from a practitioner perspective. The purpose of this research is to bridge the gap between research and practice by developing a methodology that is compatible with both. To this end the paper proposes a measureable idiographic method of measurement, which utilises multi-dimensional scaling (MDS) and general procrustean analysis (GPA) to analyse the result of card-sort data gathered from a learner across the entire intervention. This approach provides a method of assessment, which is both compatible with individual intervention and suited to building a body of evidence-based research for DA. An example of the method in practice is given for illustrative purposes. The initial results suggest that this approach provides a methodology that satisfies the requirements of both practitioners when formulating targeted intervention and researchers who require methods of measurement of change in ability of the individual over time.
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STATUSOVÉ USPORIADANIE SLOVENSKEJ SPOLOČNOSTI

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EN
The theoretical basis of this article is Max Weber´s distinction between class and status as related but different forms of social stratification. Tak Wing Chan and John Goldthorpe proved that this distinction is conceptually cogent and empirically important in the study of today´s modern societies. We follow their approach in our attempt to identify a status order in present-day Slovak society. We analysed the occupational structure of spouses (partners in marriages): empirical results show that there is one dimension of this structure that can be interpreted as reflecting a hierarchy of status. The status order we identify is different to income, education and socioeconomic status. An analysis of the relationship between the status hierarchy and the class structure has shown that while some classes show a rather high degree of status homogeneity, in other classes status stratification is quite extensive. Similarly to the findings of Chan and Goldthorpe, our results also show that the Weber´s distinction between status and class remains valid and empirically beneficial.
EN
The incidence of serious diseases in most European countries has a growing trend compared to mortality due to these illnesses. There are significant differences in the health status of the population not only between countries but also within them. The goal of the health policy of the European Union and its member states is not only to reduce the incidence of serious diseases but also mitigate regional inequalities of their incidence. The object of this article is to compare incidences of serious diseases within the regions in the Czech Republic by using hybrid approach which combines multidimensional scaling with linear ordering of the objects. Hybrid approach is suitable for visualization of objects and determination of distances from ideal object according to indicators used. The factors of regional inequalities in the incidence of serious diseases are identified and quantified based on the results of hybrid method.
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