000 03939nam a22005535i 4500
001 978-3-7908-2385-1
003 DE-He213
005 20160302165224.0
007 cr nn 008mamaa
008 100301s2009 gw | s |||| 0|eng d
020 _a9783790823851
_9978-3-7908-2385-1
024 7 _a10.1007/978-3-7908-2385-1
_2doi
050 4 _aH61-61.95
072 7 _aJHBC
_2bicssc
072 7 _aSOC019000
_2bisacsh
082 0 4 _a300.1
_223
245 1 0 _aStatistical Methods for the Evaluation of Educational Services and Quality of Products
_h[electronic resource] /
_cedited by Paola Monari, Matilde Bini, Domenico Piccolo, Luigi Salmaso.
264 1 _aHeidelberg :
_bPhysica-Verlag HD :
_bImprint: Physica,
_c2009.
300 _aXV, 243 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aContributions to Statistics,
_x1431-1968
505 0 _aLatent 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#x2019; 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.
520 _aThe book presents statistical methods and models that can usefully support the evaluation of educational services and quality of products. The evaluation of educational services, as well as the analysis of judgments and preferences, poses severe methodological challenges because of the presence of the following aspects: the observational nature of the context, which is associated with the problems of selection bias and presence of nuisance factors; the hierarchical structure of the data (multilevel analysis); the multivariate and qualitative nature of the dependent variable; 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 specification and estimation of mixture models. The contributions concern methodological advances developed mostly with reference to specific problems of evaluation using real data sets.
650 0 _aSocial sciences.
650 0 _aMathematical models.
650 0 _aProbabilities.
650 0 _aAssessment.
650 0 _aStatistics.
650 1 4 _aSocial Sciences.
650 2 4 _aMethodology of the Social Sciences.
650 2 4 _aMathematical Modeling and Industrial Mathematics.
650 2 4 _aProbability Theory and Stochastic Processes.
650 2 4 _aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
650 2 4 _aAssessment, Testing and Evaluation.
700 1 _aMonari, Paola.
_eeditor.
700 1 _aBini, Matilde.
_eeditor.
700 1 _aPiccolo, Domenico.
_eeditor.
700 1 _aSalmaso, Luigi.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783790823844
830 0 _aContributions to Statistics,
_x1431-1968
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-7908-2385-1
912 _aZDB-2-SMA
999 _c188905
_d188905