Psychosocial risk in finance and banking sector: Active participation as a prevention instrument. Application of a multivariate analysis technique (Multiple Correspondence Analysis-MCA)

2010 ◽  
Author(s):  
L. Macciocu ◽  
I. Rossi ◽  
C. Nardella ◽  
P. Ferrante ◽  
G. Buresti ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Correspondence Analysis ◽  
Banking Sector ◽  
Multiple Correspondence Analysis ◽  
Active Participation ◽  
Psychosocial Risk ◽  
Analysis Technique

scholarly journals Estadística multivariante para la caracterización sectorial según la infraestructura de las viviendas en San Carlos de Zulia

2021 ◽  
Vol 4 (2) ◽  
pp. 73
Author(s):  
Lelly María Useche Castro ◽  
Olga Lilian Mendoza Talledo ◽  
Rosalba Karen Bravo Saltos ◽  
Miguel Ángel Lapo Palacios
Keyword(s):  
Multivariate Analysis ◽  
Correspondence Analysis ◽  
Rural Population ◽  
Previous Investigation ◽  
Advantages And Disadvantages ◽  
Palabras Clave ◽  
Analysis Technique ◽  
Basic Services ◽  
San Carlos

Se determinó un perfil de la infraestructura de una población rural en Venezuela con respecto a la vivienda según el sector, realizando un análisis de correspondencias simple en donde se compararon las variables de infraestructura con respecto a la variable “sector”.  La base de datos se obtuvo de una investigación previa basada en un cuestionario del censo de población y vivienda del Instituto Nacional de Estadística (INE) de una muestra de 226 hogares. Los resultados obtenidos variaron según el tipo de infraestructura y servicios básicos del sector. La técnica de análisis de correspondencias simple mostró ventajas y desventajas como método para caracterizar poblaciones.   Palabras clave: Análisis de correspondencias simple, análisis multivariante, caracterización, infraestructura.   Abstract A profile of the infrastructure of a rural population in Venezuela was determined with respect to housing according to the sector, performing a simple correspondence analysis in which the infrastructure variables were compared with respect to the variable "sector". The database was obtained from a previous investigation based on a questionnaire of the population and housing census of the National Institute of Statistics (INE) of a sample of 226 households. The results obtained varied according to the type of infrastructure and basic services in the sector. The simple correspondence analysis technique showed advantages and disadvantages as a method to characterize populations.   Keywords: Simple Correspondence Analysis, Multivariate Analysis, Characterization, Infrastructure.

scholarly journals The Linear Pottery culture face vessel from the site Biskupice 18, southern Poland

2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Marta Korczyńska ◽  
Robert Kenig ◽  
Marek Nowak ◽  
Agnieszka Czekaj-Zastawny ◽  
Maciej Nowak ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Correspondence Analysis ◽  
Multiple Correspondence Analysis ◽  
Stylistic Analysis ◽  
Human Face ◽  
Central European ◽  
Southern Poland ◽  
European Neolithic ◽  
Agrarian Societies ◽  
Cultural Connections

This paper presents the stylistic analysis of a unique face vessel fragment, found at a recently excavated settlement of the Linear Pottery culture near Biskupice, located in the Carpathian foothill region in southern Poland. The evaluation is based on a multivariate analysis of the stylistic features of 130 human face vessels from 91 Central European Neolithic sites of the Linear Pottery culture and the Alföld Linear Pottery culture, and is conducted with the help of multiple correspondence analysis (MCA). The main objective of the research is to find the closest analogies of the Biskupice by tracking similarities between the manner of execution of the combination of facial elements and accompanying motifs appearing on the Biskupice vessel and on other depictions of the human face. This investigation also aims to make inferences about the chrono-cultural connections of the first agrarian societies in the area of the Carpathian foothills with other regions of the Linear Pottery world.

scholarly journals Multivariate Analysis for the Questionnaire Investigation on the Needs at Fuji City

2018 ◽  
Vol 9 (5) ◽  
pp. 50
Author(s):  
Yuki Higuchi ◽  
Akane Okubo ◽  
Daisuke Suzuki ◽  
Kazuhiro Takeyasu
Keyword(s):  
Multivariate Analysis ◽  
Correspondence Analysis ◽  
Multiple Correspondence Analysis ◽  
The Future

Shopping streets at local city in Japan became old and are generally declining. In this paper, we handle the area rebirth and/or regional revitalization of shopping street. We focus on Fuji city in Japan. Four big festivals are held at Fuji city (two for Fuji Shopping Street Town and two for Yoshiwara Shopping Street Town). Many people visit these festivals including residents in that area. Therefore a questionnaire investigation to the residents and visitors is conducted during these periods in order to clarify residents and visitors’ needs for the shopping street, and utilize them to the plan building of the area rebirth and/or regional revitalization of shopping street. These are analyzed by using Multiple Correspondence Analysis. These are utilized for constructing a much more effective and useful plan building. We have obtained fruitful results. To confirm the findings by utilizing the new consecutive visiting records would be the future works to be investigated.

Multivariate analysis of the water quality of a set of Quebec lakes: finding watershed explicative factors of the acidification process

1991 ◽  
Vol 18 (4) ◽  
pp. 644-653
Author(s):  
M. Lachance ◽  
B. Bobée ◽  
G. de Marsily
Keyword(s):  
Water Quality ◽  
Multivariate Analysis ◽  
Spatial Variability ◽  
Correspondence Analysis ◽  
Multiple Correspondence Analysis ◽  
Hierarchical Classification ◽  
Water Quality Variables ◽  
Geographical Regions ◽  
Saguenay River

In this study, a new methodological approach is proposed to analyze the spatial variability of the water quality of a set of lakes. The Quebec region under study is located in the southeast part of the Canadian Shield between the Ottawa River and the Saguenay River. The proposed methodology is based on the combined use of correspondence analysis and hierarchical classification analysis. These methods provided the analyst with a geometric representation of the spatial variation of the physicochemical parameters of the water quality (pH, alkalinity, calcium + magnesium, sulfate) recognized as indicators of the acidification of aquatic ecosystems. Afterwards by imposing a contiguity constraint in hierarchical classification, the analysis led to the delimitation of five geographical regions that are similar with respect to the four variables related to the acidification process. Then the relations between the water quality variables and some biophysical variables are examined. The multiple correspondence analysis made it easier to identify the biophysical variables of the watershed that are explicative of the water quality variables. Amongst these explicative variables examined, we have identified that the sulfate concentration in the precipitation, the annual precipitation, the altitude of lakes, and the type of vegetation and geology are more or less explicative for the alkalinity, the pH, the Ca + Mg, and the sulfate. The results can be used to build a regression model for the prediction of some physicochemical variables from the knowledge of certain key variables describing the biophysical characteristics of the watersheds. Key words: spatial variability, multivariate analysis, acidification, water quality, explicative factors, lakes, Quebec.

scholarly journals Informed Geoheritage Conservation: Determinant Analysis Based on Bibliometric and Sustainability Indicators Using Ordination Techniques

Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 539
Author(s):  
Boglárka Németh ◽  
Károly Németh ◽  
Jon N. Procter
Keyword(s):  
Correspondence Analysis ◽  
Conservation Planning ◽  
Earth Science ◽  
Multiple Correspondence Analysis ◽  
Contributing Factors ◽  
Usual Model ◽  
Development Indicators ◽  
Individual Variables ◽  
Business As Usual ◽  
World Development

Ordination methods are used in ecological multivariate statistics in order to reduce the number of dimensions and arrange individual variables along environmental variables. Geoheritage designation is a new challenge for conservation planning. Quantification of geoheritage to date is used explicitly for site selection, however, it also carries significant potential to be one of the indicators of sustainable development that is delivered through geosystem services. In order to achieve such a dominant position, geoheritage needs to be included in the business as usual model of conservation planning. Questions about the quantification process that have typically been addressed in geoheritage studies can be answered more directly by their relationships to world development indicators. We aim to relate the major informative geoheritage practices to underlying trends of successful geoheritage implementation through statistical analysis of countries with the highest trackable geoheritage interest. Correspondence analysis (CA) was used to obtain information on how certain indicators bundle together. Multiple correspondence analysis (MCA) was used to detect sets of factors to determine positive geoheritage conservation outcomes. The analysis resulted in ordination diagrams that visualize correlations among determinant variables translated to links between socio-economic background and geoheritage conservation outcomes. Indicators derived from geoheritage-related academic activity and world development metrics show a shift from significant Earth science output toward disciplines of strong international agreement such as tourism, sustainability and biodiversity. Identifying contributing factors to conservation-related decisions helps experts to tailor their proposals for required evidence-based quantification reports and reinforce the scientific significance of geoheritage.

scholarly journals Patterns of Italian high school and university students’ attitudes towards physics: an analysis based on semiotic-cultural perspective

2021 ◽  
Author(s):  
Italo Testa ◽  
Raffaele De Luca Picione ◽  
Umberto Scotti di Uccio
Keyword(s):  
High School ◽  
Cluster Analysis ◽  
University Students ◽  
Correspondence Analysis ◽  
Multiple Correspondence Analysis ◽  
Psychological Theory ◽  
Cultural Perspective ◽  
Undergraduate Level ◽  
Students Attitudes ◽  
And Cluster Analysis

AbstractThe purpose of this study was to analyse Italian high school and university students’ attitudes towards physics using the Semiotic Cultural Psychological Theory (SCPT). In the SCPT framework, attitudes represent how individuals interpret their experience through the mediation of generalized meaning with which they are identified. A view-of-physics questionnaire was used as an instrument to collect data with 1603 high school and university students. Data were analysed through multiple correspondence analysis and cluster analysis. We identified four generalized meanings of physics: (a) interesting and important for society; (b) a quite interesting, but badly taught subject at school and not completely useful for society; (c) difficult to study and irrelevant for society; and (d) a fascinating and protective niche from society. The identified generalized meanings are significantly correlated to the choice to study physics at undergraduate level and to the choice of attending physics-related activities in high school. Implications for research are discussed.

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