Comparison of Multivariate Analysis Methodologies in a Palliative Care Setting

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This study is focused on measuring the quality and the satisfaction with the palliative care provided to oncology patients in domicile. The SERVQUAL methodology adapted for the Portuguese context was used to evaluate the quality of palliative care and patient satisfaction. The Portuguese SERVQUAL questionnaire is composed of five perception scales and two questionnaires, one about the patient and another about the caregiver. The data analysis presented is the analysis of the answers to the five perception scales, composed of partial ordered variables, evaluating different aspects of quality and satisfaction.The data was analysed comparing metric and symbolic approaches, using Principal Component Analysis Methods and Agglomerative Hierarchical Cluster Analysis Models. The results suggest that a symbolic approach provides a more comprehensive analysis for this kind of data.

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... This study continues the work done by Doria [9], Doria et al. [11], and Bacelar-Nicolau et al. [6]. It deals with the comparison of modal variables using multivariate methods. ...
... Recently, coefficients s, s LC , and P L were generalized to the comparison of symbolic variables, including modal variables [9,11]. Given the modal variables X j D x i.j /1 ; x i.j /2 ; : : : ; x i.j /m , j D 1; : : : ; p, all of which with the same number m of modalities, in which x i.j /k .i ...
Domiciliary palliative care satisfaction and quality were estimated by caregivers via five perception scales with partly ordered answering modalities. The perception scales were codified as symbolic modal variables and analyzed using two multivariate approaches based on complex (symbolic) data to compare modal variables. This study compares the outcomes of previous work by Doria (Representações euclidianas de dados: Uma abordagem para variáveis heterogéneas. Tese de doutoramento, Universidade de Lisboa, Lisboa, 2008), Doria et al.(Livro de Resumos da XI Conferencia Española de Biometria e Primer Encuentro Iberoamericano de Biometria (CEIB2007) 101–102, 2007) and Bacelar-Nicolau et al.(Revista Portuguesa de Filosofia 66(2):427–460, 2010). In particular, it focuses on the differences and similarities of the results obtained with principal component analysis and ascendant hierarchical cluster analysis, directly applied to the similarity matrix S LC and to the generalized affinity matrix, adapted to the comparison of modal variables.
... This statistical method, among others, made it possible to select the most as well as the least useful extractor for chemical analysis of composts in which the abundance of microelements is estimated from a practical point of view. The usability of the principal components as linear combinations of the original variables which permit reduction of dimensionality with minimum loss of data variability is indicated in many examples considered by Czernyszewicz (2008), Kolasa-Więcek(2012), andDoria et al. (2012). This analysis has also been found useful in other studies, one of them being that described byPrzybylski et al. (2002), in which interrelationships concerning pork meat quality were considered. ...
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The usability of various single extractors in the chemical analysis of composts was evaluated using principal component analysis. Ten different single extractors were used to determine the contents of microelements obtained in the chemical extraction of four different composts. It was found that principal component analysis is a satisfactory statistical method enabling the comparison of different solutions in terms of efficiency of extraction of microelements from composts of different composition. The results showed that 1mol dm
This volume of the Selected Papers from Portugal is a product of the Seventeenth Congress of the Portuguese Statistical Society, held at the beautiful resort seaside city of Sesimbra, Portugal, from September 30 to October 3, 2009. It covers a broad scope of theoretical, methodological as well as application-oriented articles in domains such as: Linear Models and Regression, Survival Analysis, Extreme Value Theory, Statistics of Diffusions, Markov Processes and other Statistical Applications.
Defining and measuring the quality of service has been a major challenge for health care marketers. A comprehensive service quality measurement scale (SERVQUAL) is empirically evaluated for its potential usefulness in a hospital service environment. Active participation by hospital management helped to address practical and user-related aspects of the assessment. The completed expectations and perceptions scales met various criteria for reliability and validity. Suggestions are provided for the managerial use of the scale, and a number of future research issues are identified.
Un indice de similarité pour des variables de type quelconque
  • Le Calvé
Some Trends in the Classification of Variables
  • F Nicolau
  • H Bacelar-Nicolau
Analyse d’un Algorithme de Classification
  • H Bacelar-Nicolau
Humanização dos Cuidados Paliativos: Análise Multivariada de um Questionário de Qualidade/Satisfação ao Apoio Domiciliário
  • H Bacelar-Nicolau
  • O Dias
  • Sousa Ferreira
Representações euclidianas de dados: Uma abordagem para variáveis heterogéneas
  • I Doria