Statistical methods for the evaluation of educational services and quality of products
- Heidelberg ; New York : Physica-Verlag, c2009.
- Physical description
- xv, 243 p. : ill. ; 24 cm.
- Contributions to statistics.
LB2822.75 .S73 2009
- Unknown LB2822.75 .S73 2009
- Bini, Mathilde.
- Includes bibliographical references (p. 227-240) and index.
- Latent variable models for ordinal data.- Issues on item response theory modelling.- Nonlinearity in the analysis of longitudinal data.- Multilevel models for the evaluation of educational institutions: a review.- Multilevel mixture factor models for the evaluation of educational programs' effectiveness.- A class of statistical models for evaluating services and performances.- Choices and conjoint analysis: critical aspects and recent developments.- Robust diagnostics in university performance studies.- A novel global performance score with an application to the evaluation of new detergents.- Nonparametric tests for the randomized complete block design with ordered categorical variables.- A permutation test for umbrella alternatives.- Nonparametric methods for measuring concordance between rankings: a case study on the evaluation of professional profiles of municipal directors.
- (source: Nielsen Book Data)
- Publisher's Summary
- The book presents statistical methods and models that can usefully support the ev- uation of educational services and quality of products. The contributions collected in this book summarize the work of several researchers from the universities of Bologna, Firenze, Napoli and Padova. The contributions are written with a cons- tent notation and a uni?ed view, and concern methodological advances developed mostly with reference to speci?c problems of evaluation using real data sets. The evaluation of educational services, as well as the analysis of judgements and preferences, poses severe methodological challenges because of the presence of one or more of the following aspects: the observational (non experimental) nature of the context, which is associated with the well-known problems of selection bias and presence of nuisance factors; the hierarchical structure of the data, that entails c- related observations and consideration of effects at different levels of the hierarchy and their interactions (multilevel analysis); the multivariate and qualitative nature of the dependent variable, that requires the use of ad hoc statistical methodologies; the presence of non observable factors, e. g. the satisfaction, calling for the use of latent variables models; the simultaneous presence of components of pleasure and components of uncertainty in the explication of the judgments, that asks for the speci?cation and estimation of mixture models. The ?rst part of the book deals with latent variable models.
(source: Nielsen Book Data)
- Publication date
- Matilde Bini ... [et al.], editors.
- Contributions to statistics