This paper explores the measurement capabilities of the Trends in International Mathematics and Science Study (TIMSS) and the Program for International Student Assessment (PISA) in assessing school factors that influence student performance.
Inga Laukaityte +2 more
doaj +1 more source
Multiple imputation of missing data in multilevel models with the R package mdmb: a flexible sequential modeling approach. [PDF]
Grund S, Lüdtke O, Robitzsch A.
europepmc +1 more source
Lazarsfeld's Legacy| Paul Lazarsfeld’s Methodological Innovations and Their Importance Today
Paul Lazarsfeld developed an efficient model of scientific sociological research that used a combination of several quantitative and qualitative methods and approaches.
Hynek Jeřábek
doaj
Application of the Risk Stratification Index to Multilevel Models of All-condition 30-Day Mortality in Hospitalized Populations Over the Age of 65. [PDF]
Saini V, Gopinath V.
europepmc +1 more source
Os Modelos Multiestágios de Maturidade: um Breve Relato de sua História, sua Difusão e sua Aplicação na Gestão de Pessoas por meio do People Capability Maturity Model (P P-CMM) [PDF]
The aim of this theoretical article is to discuss the development and application of maturity multilevels models on people management in organizations, specifically, the People Capability Maturity Model or P-CMM (Curtis, Hefley, & Miller, 1995, 2002), an
Victor Natanael Schwetter Silveira
doaj
Contextual effects on the vote in Germany: A multilevel analysis [PDF]
This paper addresses the old topic of contextual effects on voting behaviour. Current multilevel analysis techniques provide a powerful tool to (re-)examine such regional influ-ences on individual voting decisions.
Pickery, Jan
core
Modelling the Effects of Pupil Mobility and Neighbourhood on School Differences in Educational Achievement [PDF]
Traditional studies of school differences in educational achievement use multilevel modelling techniques to take into account the nesting of pupils within schools. However, educational data are known to have more complex non-hierarchical structures.
George Leckie
core
Prior distributions for variance parameters in hierarchical models [PDF]
Various noninformative prior distributions have been suggested for scale parameters in hierarchical models. We construct a new folded-noncentral- t family of conditionally conjugate priors for hierarchical standard deviation parameters, and then consider
Andrew Gelman
core +3 more sources
Multilevel Models: Introducing multilevel modelling [PDF]
This video provides a general overview of multilevel modelling, covering what it is, what it can be used for, and the general data structures that are suitable for multilevel models.
Burton-Smith, Ian
core
Fixed Effects and Variance Components Estimation in Three-Level Meta-Analysis [PDF]
Meta-analytic methods have been widely applied to education, medicine, and the social sciences. Much of meta-analytic data are hierarchically structured since effect size estimates are nested within studies, and in turn studies can be nested within level-
Konstantopoulos, Spyros
core

