Assessment of school performance through a multilevel latent Markov Rasch model

An extension of the latent Markov Rasch model is described for the analysis of binary longitudinal data with covariates when subjects are collected in clusters, e.g. students clustered in classes. For each subject, the latent process is used to represent the characteristic of interest (e.g. ability) conditional on the effect of the cluster to which he/she belongs. The latter effect is modeled by a discrete latent variable associated with each cluster. For the maximum likelihood estimation of the model parameters we outline an EM algorithm. We show how the proposed model may be used for assessing the development of cognitive Math achievement. This approach is applied to the analysis of a dataset collected in the Lombardy Region (Italy) and based on test scores over three years of middle-school students attending public and private schools

The 2005 European e-Business Readiness Index

Assessment of the eEurope 2005 Action Plan Benchmarking Index “E-Business Readiness Composite Indicator” using data collected by National Statistical Institutes and harmonised by Eurostat, using surveys “ICT usage of enterprises”, with reference years 2003 and 2004. This report contains data from 26 countries as collected in 2004 and as reported by Eurostat in June 2005. Performed analyses include obustness analysis, uncertainty and sensitivity analysis for two categories of ICT (Adoption and Use), univariate analysis of basic indicators; principal component analysis and finally assessment of resulted country rankings and methodological notes.ICT, e-business, adoption, composite, indicator, eEurope, e-Europe, EU, multiple imputation imputation

The 2005 European e-Business Readiness Index

Assessment of the eEurope 2005 Action Plan Benchmarking Index “E-Business Readiness Composite Indicator” using data collected by National Statistical Institutes and harmonised by Eurostat, using surveys “ICT usage of enterprises”, with reference years 2003 and 2004. This report contains data from 26 countries as collected in 2004 and as reported by Eurostat in June 2005. Performed analyses include robustness analysis, uncertainty and sensitivity analysis for two categories of ICT (Adoption and Use), univariate analysis of basic indicators; principal component analysis and finally assessment of resulted country rankings and methodological notes. Report includes 21 Tables and 20 Figures. 47 pp.JRC.G.9-Econometrics and statistical support to antifrau