All Stories

  1. Multilevel Intersectional Analysis to Identify Extreme Profiles in Italian Student Achievement Data
  2. Comparing flexible modelling approaches: the varying-thresholds model versus quantile regression
  3. A Cross-Sectional Model Implementing Intersectional Analysis to Identify Extreme Profiles in Invalsi Data
  4. Variable Selection in Multilevel Models via Knockoffs: the Case of INVALSI National Tests
  5. Growth models for the progress test in Italian dentistry degree programs
  6. Addressing bias due to measurement error of an outcome with unknown sensitivity in database epidemiologic studies. A contribution from the ConcePTION project
  7. The role of non-scientific factors vis-à-vis the quality of publications in determining their scholarly impact
  8. Conditioning on the Pre-Test versus Gain Score Modelling: Revisiting the Controversy in a Multilevel Setting
  9. Multiple Imputation and Multivariate Outliers Detection and Correction Integrated to Machine Learning: A Prediction of Functional Outcome in Post-Stroke Survivors
  10. Review of Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, by Sophia Rabe-Hesketh and Anders Skrondal
  11. Statistical methods to estimate the impact of remote teaching on university students’ performance
  12. Quantile regression for count data: jittering versus regression coefficients modelling in the analysis of credits earned by university students after remote teaching
  13. Mixed-effect models with trees
  14. The effects of citation-based research evaluation schemes on self-citation behavior
  15. Ordered Logit Model
  16. Random effects regression trees for the analysis of INVALSI data
  17. Multiple imputation and selection of ordinal level 2 predictors in multilevel models: An analysis of the relationship between student ratings and teacher practices and attitudes
  18. Discussion of ‘The class of CUB models: statistical foundations, inferential issues and empirical evidence’ by Domenico Piccolo and Rosaria Simone
  19. New Insights on Student Evaluation of Teaching in Italy
  20. Clustering Upper Level Units in Multilevel Models for Ordinal Data
  21. Evaluation of Student Performance through a Multidimensional Finite Mixture IRT Model
  22. Fitting logistic multilevel models with crossed random effects via Bayesian Integrated Nested Laplace Approximations: a simulation study
  23. Exploiting TIMSS and PIRLS combined data: Multivariate multilevel modelling of student achievement
  24. Impact of Chronic Care Model on diabetes care in Tuscany: a controlled before-after study
  25. From rankings to funnel plots: The question of accounting for uncertainty when assessing university research performance
  26. Does Community-Based Rehabilitation Enhance the Multidimensional Well-Being of Deprived Persons With Disabilities? A Multilevel Impact Evaluation
  27. Binomial Mixture Modeling of University Credits
  28. Funnel plots for visualizing uncertainty in the research performance of institutions
  29. Statistical modelling of gained university credits to evaluate the role of pre-enrolment assessment tests: An approach based on quantile regression for counts
  30. Specification of random effects in multilevel models: a review
  31. Bayesian estimation with INLA for binary logit mixed models
  32. Ordered Logit Model
  33. Specifying Measurement Error Correlations in Latent Growth Curve Models With Multiple Indicators
  34. Group versus single handed primary care: A performance evaluation of the care delivered to chronic patients by Italian GPs
  35. Latent class CUB models
  36. Mothers’ Employment and their Children’s Schooling: A Joint Multilevel Analysis for India
  37. The Use of Permutation Tests for Variance Components in Linear Mixed Models
  38. Multilevel Models for Ordinal Data
  39. The Role of Sample Cluster Means in Multilevel Models
  40. Modeling Partial Compliance Through Copulas in a Principal Stratification Framework
  41. Classification and Multivariate Analysis for Complex Data Structures
  42. Selection bias in linear mixed models
  43. Causal Inference Through Principal Stratification: A Special Type of Latent Class Modelling
  44. Multilevel models for the evaluation of educational institutions: a review
  45. Statistical Methods for the Evaluation of Educational Services and Quality of Products
  46. Nonparametric Bounds on the Causal Effect of University Studies on Job Opportunities Using Principal Stratification
  47. Multilevel Factor Models for Ordinal Variables
  48. Multilevel Factor Models for Ordinal Variables
  49. A multilevel multinomial logit model for the analysis of graduates’ skills
  50. The Influence of Childbearing Regional Contexts on Ideal Family Size in Europe
  51. L'influence des différences de fécondité dans les régions européennes sur la taille idéale de la famille
  52. The random-effects proportional hazards model with grouped survival data: a comparison between the grouped continuous and continuation ratio versions
  53. Analysis of university course evaluations: from descriptive measures to multilevel models
  54. Alternative Specifications of Multivariate Multilevel Probit Ordinal Response Models
  55. Specification issues in stratified variance component ordinal response models
  56. The transition from university to work: a multilevel approach to the analysis of the time to obtain the first job
  57. A Multilevel Analysis of Graduates’ Job Satisfaction
  58. A Multilevel Chain Graph Model for the Analysis of Graduates’ Employment
  59. University Studies and Employment. An Application of the Principal Strata Approach to Causal Analysis
  60. Specification of Random Effects in Multilevel Models: A Review