Search results for "Multiple correspondence analysis"
showing 10 items of 21 documents
Socio-Demographic Vulnerability: The Condition of Italian Young People
2009
For a kind of inertia effect, today the Italian welfare state protects the older too much and, on the contrary, it does not counter sufficiently the new risks associated with other phases of life. Not much seems to be implemented in favour of Italian young people who, as a matter of fact, seem to suffer a lot from the present changes: young people remain longer in the parental home and postpone setting up their own independent life to a most advanced age. In order to understand the situation of vulnerability increasingly widespread among young people, it seemed more and more necessary an in-depth analysis of the reasons and the subjective status of the discomfort that affects young people b…
Measuring Tourist Satisfaction Through a Dual Approach: The 4Q Methodology
2018
Tourist satisfaction is one of the key factors in determining the success of a tourist destination, since it affects behavioural intentions, such as the willingness to revisit and recommend the destination. Therefore, much research has addressed the measuring of tourist satisfaction, either eliciting positive or negative evaluations of a holiday or destination. The spread between expected positive and negative characteristics can trigger a tourist experience. And the gap between expectations and perceptions will produce a feeling of satisfaction or dissatisfaction (Expectancy-Disconfirmation Paradigm, EDP). Under these conditions, this paper adopts a dual approach, considering tourist satis…
Visualizing categorical data in ViSta
2003
The modules in the statistical package ViSta related to categorical data analysis are presented These modules are: visualization of frequency data with mosaic and bar plots, correspondence analysis, multiple correspondence analysis and loglinear analysis. All these methods are implemented in ViSta with a big emphasis on plots and graphical representations of data, as well as interactivity for the user with the system. These provide a system that has shown to be easy, useful, and powerful, both for novice and experienced users.
Multiple factor analysis: principal component analysis for multitable and multiblock data sets
2013
Multiple factor analysis MFA, also called multiple factorial analysis is an extension of principal component analysis PCA tailored to handle multiple data tables that measure sets of variables coll...
Multivariate statistical analysis for exploring road crash-related factors in the Franche-Comté region of France
2021
Understanding and modelling road crash data is crucial in fulfilling safety goals by helping national authorities to take necessary measures to reduce crash frequency and severity. This work aims at giving a multivariate statistical analysis of road crash data from the French region of Franche-Comte with special attention to road crash gravity. The first step for this multivariate analysis was to perform Multiple Correspondence Analysis in order to assess associations between the road crash injury and several important accident-related factors and circumstances. Log-linear models are used next in order to detect associations between road crash severity and related factors such as al-cohol/d…
Identified Risk Factors Among Truck Drivers Circulating in France
2020
The growth of the European market for road-freight transport has recently led to important changes. Moreover, due to the geographical context of France, truck drivers from different countries circulate on French roads to deliver their goods. Having road safety concerns in mind and based on a literature review, as well as interviews, a French questionnaire has been developed. Aiming at collecting data among truck drivers from different European countries, the questionnaire has been translated into seven languages and has been administered at four highway rest areas in France. The collected data were analyzed by means of multiple correspondence analysis, which pointed out new links between wo…
Beyond Tandem Analysis: Joint Dimension Reduction and Clustering in R
2019
We present the R package clustrd which implements a class of methods that combine dimension reduction and clustering of continuous or categorical data. In particular, for continuous data, the package contains implementations of factorial K-means and reduced K-means; both methods combine principal component analysis with K-means clustering. For categorical data, the package provides MCA K-means, i-FCB and cluster correspondence analysis, which combine multiple correspondence analysis with K-means. Two examples on real data sets are provided to illustrate the usage of the main functions.
Are there similar or divergent transitions to adulthood in a Mediterranean context? A cross-national comparison of Italy and Spain
2016
The purpose of this study was to examine the differences and similarities between Italy and Spain in regard to emerging adults’ perceptions of identity status, autonomy, attachment, and life satisfaction. The goal was to verify whether a Mediterranean model of transitions from adolescence to adulthood exists. Three hundred and forty undergraduate students (171 Italians and 169 Spanish) ranging in age from 19 to 22 completed measures of identity status, emotional autonomy, attachment style, and life satisfaction. Multiple correspondence analyses provided a graphic synthesis of results. The results indicate that no common model of young adult development exists in Spain and Italy and that Ita…
Appropriateness in Dentistry: A Survey Discovers Improper Procedures in Oral Medicine and Surgery
2018
Objectives. The aim of this study was to assess appropriateness of diagnostic exams, treatments, and procedures among Italian dental practitioners.Materials and Methods. A questionnaire with multiple responses on topics of dentistry and oral medicine was administered to a sample of 198 Italian dental practitioners. Information on characteristics of the respondents was also collected. Descriptive statistics and multiple correspondence analysis (MCA) were applied. Data were analyzed using R software (version 3.3.2).Results. The survey respondents included Doctors of Medicine (MD) (54/198 = 27%) with or without specialty in dentistry (33% versus 67%), Doctors of Dental Surgery (DDS) (144/198 =…
Demographic and behavioural profiles of patients with common oral mucosal lesions by a homogeneity analysis
2012
Oral Diseases (2012) 18, 396–401 Objective: The aim of this study is to assess the main oral mucosal lesions (OMLs) within a hospital base and to provide an anamnestic, diagnostic model based on homogeneity analysis of some variables. Methods: The demographic and behavioural data (i.e. gender, age, smoking status, alcohol consumption and therapeutic drug usage) of 1753 patients with at least one OML were considered. Multiple correspondence analysis (MCA) and multivariate tests of the simultaneous marginal homogeneity hypothesis (SMH) were used to analyse the evidence of any differences between the demographic and behavioural profiles relating to OMLs diagnoses. Statistical significance of…