1,721,005 research outputs found
Un'applicazione dei test di permutazione alla Conjoint Analysis per la valutazione di un nnuovo servizio poliambulatoriale
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A new procedure for the definition of a global preference ranking to support the research and development of industrial products
No full textStudio comparativo sui test di permutazione condizionati alle osservazioni per l'ANOVA a due vie
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Nonparametric Pooling of Preference Ratings for Conjoint Analysis Experiments with Application on Health Assistance Service
No full textRecent literature on conjoint analysis is rather fragmented and presents some critical elements, both in terms of the procedure for the definition of the survey design and in terms of the subsequent statistical analysis of collected data. The problem of pooling customer preference ratings within a conjoint analysis experiment is addressed. A method based on the nonparametric combination of rankings is proposed to compete with the usual methods based on the arithmetic mean or cluster analysis. The two methods were compared using Spearman’s rank correlation coefficient and a new correlation indicator which takes both correlation and distance between ranks into account. By means of a simulation study it was shown that the nonparametric combination of dependent ranking method performs better than the arithmetic mean under heavy tailed distributions. This aspect is very important, in fact preference ratings in exploratory studies on new product development may largely vary from customer to customer. It is well known that the mean is not a proper indicator for study location under heavy tailed distributions, so the practitioner should take into account the proposed method. Finally, as a real application of the problem of pooling individual preferences, we apply the proposed method to a conjoint analysis case study. Specifically, this study was managed by a health care corporation with the goal of planning the features of a new ambulatory health service. Using a full factorial design, a set of 9 profiles was submitted and rated by a sample of 180 consumers. The study was designed to address the main question on which attributes are essential to consumers, taking also into account the potential segments of consumers, based on their preferences, for the new health assistance attributes
A comparison of FWE-Type multiple comparison procedures
No full textSome FWE-Type multiple comparisons procedures are compared in terms of power and percentage of correct classifications
Non Parametric Multifocus Analysis
No full textThe experimental plans in the psychometric field (but also in marketing, customer satisfaction and other areas) are commonly characterised by a variety of aspects of which we need to verify the dependence with a variable which identifies various populations. Secondly there is the problem of searching for the single factors which significantly contribute to the explanation of the phenomenon. This requires the use of procedures which control the multiplicity of the considered factors. The single aspects are often in turn generated by a combination of several sub-aspects (items, pathologies or behaviours). The presented instrument provides for a (strong) control of multiplicity (FWE) for the main factors and supplies the p−values for the sub-aspects of the factor itself. Should there be categorical variables, a suitable decomposition of the variable itself makes it possible to consider the single modalities of the random variable as sub-aspects of the factor and makes it possible to calculate the p−values for each one. An application to data from psychometric experiments is presented
Abdominal visceral and subcutaneous adipose tissues in obese patients: mechanical behaviour
No full textSample size determination for multivariate performance analysis with complex designs
No full textIn this paper three methods to produce a performance ranking of C treatments are taken into account. By means of a simulation study, it is possible to calculate the percentages of correct classifications of the compared methods and study their performances. This study also allows us to determine the minimum sample size useful for detecting performance differences among treatments
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