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Multiple imputation of multilevel data with single-level models: A fully conditional specification approach using adjusted group means. [PDF]
Behav Res MethodsGrund S, Lüdtke O, Robitzsch A.
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Night-to-Night Sleep Variability Modulates Subjective Sleep Perception in Chronic Insomnia: A Multilevel Analysis. [PDF]
Nat Sci SleepXiao X +8 more
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Psychometrika, 2006
Multilevel models are proven tools in social research for modeling complex, hierarchical systems. In multilevel modeling, statistical inference is based largely on quantification of random variables. This paper distinguishes among three types of random variables in multilevel modeling—model disturbances, random coefficients, and future response ...
Frees, Edward W., Kim, Jee-Seon
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Multilevel models are proven tools in social research for modeling complex, hierarchical systems. In multilevel modeling, statistical inference is based largely on quantification of random variables. This paper distinguishes among three types of random variables in multilevel modeling—model disturbances, random coefficients, and future response ...
Frees, Edward W., Kim, Jee-Seon
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IEICE Transactions on Communications, 2005
The widespread use of the Internet raises issues regarding intellectual property. After content is downloaded, no further protection is provided on that content. DRM (Digital Rights Management) technologies were developed to ensure secure management of digital processes and information.
Hwang, S +2 more
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The widespread use of the Internet raises issues regarding intellectual property. After content is downloaded, no further protection is provided on that content. DRM (Digital Rights Management) technologies were developed to ensure secure management of digital processes and information.
Hwang, S +2 more
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The Multilevel Regression Model
2014The multilevel regression model Social and behavioral research often concerns data that have a hierarchical structure, with individuals nested within groups. In multilevel analysis, such data structures are viewed as a multistage sample from a hierarchical population. For example, in educational research we may have a sample of schools, and within each
Hox, Joop, Wijngaards, Leoniek
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Multilevel Mixture Factor Models
Multivariate Behavioral Research, 2012Factor analysis is a statistical method for describing the associations among sets of observed variables in terms of a small number of underlying continuous latent variables. Various authors have proposed multilevel extensions of the factor model for the analysis of data sets with a hierarchical structure.
Varriale R., Vermunt J. K.
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A Model of Recoverability in Multilevel Systems
IEEE Transactions on Software Engineering, 1978Backward error recovery (that is, resetting an erroneous state of a system to a previous error-free state) is an important general technique for recovery from faults in a system, especially those faults which were not foreseen. However, the provision of backward error recovery can be complex, particularly if the implementation of the system is ...
Anderson T, Lee PA, Shrivastava SK
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Multilevel and Longitudinal Modeling
2014This chapter reviews high points of survey methodology literature. It outlines more specifically why survey research may be valuable to social psychologists. The chapter explains the utility of various study designs. It also reviews several standard designs, including cross-sectional, repeated cross-sectional, panel and mixed designs, and discusses ...
Schoemann, A.M. +2 more
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