A simulation-based assessment of the bias produced when using averages from small DHS clusters as contextual variables in multilevel models [PDF]
There is much interest these days in the importance of community institutions and resources for individual mortality and fertility. DHS data may seem to be a valuable source for such multilevel analysis. For example, researchers may consider including in
Øystein Kravdal
core
Meta-models for transfer learning in source localization
Data-Centric EngineeringIn practice, nondestructive testing (NDT) procedures tend to consider experiments (and their respective models) as distinct, conducted in isolation, and associated with independent data.
Lawrence A. Bull +4 more
doaj +1 more source
A spatial multilevel analysis of Italian SMEs Productivity [PDF]
In this paper, we adapt multilevel analysis methods to investigate the spatial variability of SMEs productivity across the Italian territory, and account for differences in the socio-economic context.
Giorgio Fazio, Davide Piacentino
core
Sociologický ČasopisThis article studies the links between a country's labour force participation rate and attitudes towards income redistribution. The article also demonstrates how to specify a multilevel model when analysing contextual effects and it presents several ...
Ivan Petrúšek
doaj +1 more source
Factors Associated with Mathematics Performance in Brazilian Basic Education
Psico-USF, 2016 Several studies have indicated that student performance is strongly influenced by school context. Within this frame of reference, the present study sought to identify contextual variables that affect proficiency in mathematics taking the multilevel ...
Luís Gustavo do Amaral Vinha +2 more
doaj +1 more source
Using multilevel models for the analysis of event-related potentials. [PDF]
Int J Psychophysiol, 2021 Volpert-Esmond HI +2 more
europepmc +1 more source
The specification of the propensity score in multilevel observational studies [PDF]
Propensity Score Matching (PSM) has become a popular approach to estimation of causal effects. It relies on the assumption that selection into a treatment can be explained purely in terms of observable characteristics (the “unconfoundedness assumption ...
Mealli, Fabrizia, Arpino, Bruno
core +1 more source
Fear of crime and victimisation: a multivariate multilevel analysis of competing measurements [PDF]
, 2008 This study models simultaneously three commonly used indicators of fear of crime: feeling unsafe alone at home after dark, feeling unsafe walking alone after dark and worry about becoming victim of crime, over direct (being a victim) and indirect ...
Andromachi Tseloni (1256211) +3 more
core
Multilevel Models for Longitudinal Data [PDF]
, 2007 Repeated measures and repeated events data have a hierarchical structure which can be analysed by using multilevel models. A growth curve model is an example of a multilevel random-coefficients model, whereas a discrete time event history model for ...
Steele, F.A, Fiona Steele
core +1 more source
Population-Based Multilevel Models to Estimate the Management Strategies for Acute Myocardial Infarction in Older Adults with Dementia. [PDF]
Clin Epidemiol, 2021 Li Y +4 more
europepmc +1 more source