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British Journal of Mathematical and Statistical Psychology, 2006
A general framework for the exploratory component analysis of multilevel data (MLCA) is proposed. In this framework, a separate component model is specified for each group of objects at a certain level. The similarities between the groups of objects at a given level can be expressed by imposing constraints on component models of the groups using the ...
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A general framework for the exploratory component analysis of multilevel data (MLCA) is proposed. In this framework, a separate component model is specified for each group of objects at a certain level. The similarities between the groups of objects at a given level can be expressed by imposing constraints on component models of the groups using the ...
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Multilevel analysis in the social sciences
Population, 1998Résumé Courgeau (Daniel), Baccaini (Brigitte). -Analyse multi-niveaux en sciences sociales L'approche multi-niveaux permet d'aborder les comportements humains, en tenant compte non seulement des caractéristiques individuelles, mais également du fait que ces individus font partie d'unités géographiques plus larges telles que les communes ou les régions.
Brigitte Baccaïni, Daniel Courgeau
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An Illustration of Multilevel Factor Analysis
Journal of Personality Assessment, 2005The factor analysis of repeated measures psychiatric data presents interesting challenges for researchers in terms of identifying the latent structure of an assessment instrument. Specifically, repeated measures contain both within and between individual sources of variance.
Steven P, Reise +3 more
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Sampling Considerations for Multilevel Crossing Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1982This paper examines the amplitude fluctuations of band-limited functions with bounded zeroth absolute moments, and the problems associated with estimating the level crossing profiles of these functions. Level crossings have received increased attention as features for pattern recognition because of their capability to provide information related to ...
Richard E. Woods, Rafael C. González
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Multilevel analysis with messy data
Statistical Methods in Medical Research, 2001This paper reviews applications of the method of multiple imputation to dealing with multilevel data that have several kinds of imperfections. These are classified into two broad categories: missing values and imprecise measurement (corrupted recording). The role of the model describing the data imperfections is emphasized.
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Sociological Methods & Research, 1994
This special issue of SMR is about the analysis of data collected at different levels of observation, such as groups and individuals within these groups, and about the methodological problems that are present when natural experimentation and observations nested within existing social groups are the object of study.
JOOP J. HOX, ITA G. G. KREFT
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This special issue of SMR is about the analysis of data collected at different levels of observation, such as groups and individuals within these groups, and about the methodological problems that are present when natural experimentation and observations nested within existing social groups are the object of study.
JOOP J. HOX, ITA G. G. KREFT
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Multilevel structural analysis
Social Networks, 1993Abstract Multilevel structural analysis links the macrostructures of large populations in successive steps to the network structures in face-to-face groups. Macrostructure is conceptualized as a multidimensional space of positions among which people are distributed.
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