Results 71 to 80 of about 6,859,452 (187)
Impact of Small Group Size on Neighborhood Influences in Multilevel Models [PDF]
Objective: Although there is a growing body of literature on sample size in multilevel or hierarchical modeling, few studies have examined the impact of group sizeMultilevel, Neighborhood, Body Weight, Obesity, Sample ...
Cohen, Deborah +6 more
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Estudos de Psicologia (Campinas)O reconhecimento da influência do contexto social no comportamento humano destaca a necessidade de adoção de modelos explicativos que favoreçam a identificação desse efeito.
Katia Elizabeth Puente-Palacios +1 more
doaj +1 more source
Multilevel model analysis using R [PDF]
Revista Română de Statistică, 2014 The complex datasets cannot be analyzed using only simple regressions. Multilevel models (also known as hierarchical linear models, nested models, mixed models, random coefficient, random-effects models, random parameter models or split-plot designs) are
Nicolae-Marius JULA
doaj
Studying historical occupational careers with multilevel growth models [PDF]
In this article we propose to study occupational careers with historical data by using multilevel growth models. Historical career data are often characterized by a lack of information on the timing of occupational changes and by different numbers of ...
Ineke Maas, Wiebke Schulz
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Multilevel IRT Modeling in Practice with the Package mlirt [PDF]
Variance component models are generally accepted for the analysis of hierarchical structured data. A shortcoming is that outcome variables are still treated as measured without an error.
Jean-Paul Fox
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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
Variegated spatial-temporal landscape of COVID-19 infection in England: findings from spatially filtered multilevel models. [PDF]
J Public Health (Oxf), 2023 Zheng W, Wong C.
europepmc +1 more source
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
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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
Bayesian model selection for multilevel models using integrated likelihoods. [PDF]
PLoS One, 2023 Edinburgh T, Ercole A, Eglen S.
europepmc +1 more source