Established in 1978 and published twice a year, QdS - Journal of Methodological and Applied Statistics is a peer-reviewed journal which focuses on statistical theory and applications. Original articles on statistical methodology and models, and innovative applications of known statistical methods in different branches of science are welcome. Moreover, contributions which illustrate the state of art of statistical methods and models are favourably considered. Index: L. Anderlucci, C. Hennig: Clustering of categorical data: a comparison of different approaches F. Andreis, P. A. Ferrari: Multidimensional extensions of IRT models and their application to customer satisfaction evaluation R. Arboretti, S. Bonnini: Advances on inferential methods for heterogeneity comparisons S. Bacci, F. Bartolucci: Mixtures of equispaced Normal distributions and their use for testing symmetry in univariate data F. Bartolucci, F. Pennoni, G. Vittadini: Evaluation of the graduation effect on the work path by a latent variable causal model F. Bassi, J. G. Dias: Longitudinal patterns of financial product ownership: a latent growth approach D. Belgrave, A. Simpson, I. Buchan, A. Custovic: Bishop Bayesian machine learning approaches for longitudinal latent class modelling to define wheezing phenotypes to elucidate environmental associates R. Berni, V. Scarano, F. Bertocci, M. Catelani: Mixed response surface models and bayesian analysis of variance components for electrically conductive adhesives L. Bertoli-Barsotti, A. Punzo: Generalizing the Rasch model to account for omitting behavior A. Bianchi, S. Biffignandi: Measuring and analyzing performance in longitudinal data S. Bianconcini: Asymptotic properties of adaptive Gauss-Hermite based estimators in latent variable models S. Bianconcini, S. Cagnone, D. Rizopoulos: Approximate iikelihood inference in latent variable models for categorical data L. Bisaglia, A. Canale: Bayesian nonparametric predictions for count time series A. Bonanomi, M. Nai Ruscone, S. A. Osmetti: Reliability measurement for polytomous ordinal items: the empirical polychoric ordinal Alpha C. Cappelli, F. Di Iorio, P. D´Urso: Regression trees for change point analysis of ordinal time series M. Carpita, E. Ciavolino: Using the GME estimator with the Rasch analysis in the multigroup SEM E. Carrozzo, I. Cichi, L. Corain, L. Salmaso: Permutation-based control charts for ordered categorical response variables with application to monitoring of customer satisfaction P. Cerchiello, P. Giudici: Non parametric models for credit rating assessment L. Corain, L. Salmaso, V. De Giuli, R. Zecchin: Multivariate permutation and combination-based composite indicators with application to the evaluation of indoor environment M. Corduas, L. Cinquanta, C. Ievoli: A statistical analysis of consumer perception of wine attributes C. Dal Bianco, O. Paccagnella, R. Varriale: Purchasing in European Union: a multilevel latent class application L. Deldossi, R. Paroli: Bayesian covariate selection in CUB model: some considerations L. Deldossi, D. Zappa: Evaluating R&R of ordinal classifications with CUB model E. Dupuis-Lozeron, M. P. Victoria-Feser: Simulation based estimation for Generalized Latent Linear Variables Models D. Durante: Qualitative latent variables: a comparison between SEM and LCA M. Fattore, M. Pelagatti, G. Vittadini: Globally-optimized latent variable extraction in formative-reflective models S. Figini, C. Gigliarano, P. Muliere: Making classifier performance comparisons when Receiver Operating Characteristic curves intersect B. Francis, R. Dittrich, R. Hatzinger: Latent class mixed effects models for partially ranked preferences – examining changes in postmaterialism over time A. Frenda: Estimating sectoral and smoothed European growth by generalized dynamic factor model G. Galante, B. Pietrangeli, D. Davolos, O. Maggi, E. Scepi, R. Cotroneo, S. D. Cicala: CCA analysis: A statistical approach applied to ecological process. Relationships among decomposition rates, biological diversity and substrate fractal dimension M. Gallo, A. Buccianti: A three-way analysis for compositional data: insights on Arno river (Tuscany, central Italy) water chemistry S. Ghosh, A. Eloyan: A semiparametric approach to source separation using Independent component analysis S. Golia: Evaluate the magnitude of non uniform DIF for Rasch model: the polytomous case L. Grilli, C. Rampichini, R. Varriale: University admission test and students´ careers: evidence from the School of Economics in Florence M. Iannario: CUBE models for interpreting ordered categorical data with overdispersion G. H. Jang: Parameter estimation for a copy number variation detection based on Log R ratio and B allele frequency using latent variable methods M. La Rocca, C. Perna: A two-step procedure for neural network modeling L. Mancini, L. Valentino, F. Borrelli, L. Marcone: Record linkage between large datasets: evidence from the 15th Italian population census M. Marozzi: Nonparametric testing for agreement among several judges A. Mattei, F. Mealli, B. Pacini: Identification of causal effects in the presence of nonignorable missing outcome values M. Matteucci, S. Mignani: A comparison of multidimensional IRT models for assessing test dimensionality F. Mattiello, M. Bolzan, L. Ravarotto: Assessing perceived food chemical risk by means of an educational project analysed with permutation tests L. Modugno, S. Giannerini, S. Cagnone: A multilevel model with time series components for the analysis of tribal art prices A. Monod: Modelling count panel data with a zero-inflated Posson model M. Niglio, C. D. Vitale: On the stationarity of threshold models with multiple variables E. Otranto: The factorial asymmetric multiplicative error model: preliminary results P. Palmitesta, C. Provasi: Copula component analysis for dependence modelling G. Pistone, S. Ruffa, G. Vicario: Analysis of the covariance structure in manufactured parts S. Polettini, F. De Icco: A mixture model for predicting football teams´ performance G. Roli, P. Monari: Hierarchical Bayesian models for the estimation of correlated effects in multilevel data: a simulation study to assess model performance H. Thomas: Estimating psychometric reliability with one observation per subject M. C. Zanarotti, L. Pagani: Ordinal longitudinal data analysis using multilevel Rasch model in the context of chemotherapy side effects