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Multilevel or multi-level may refer to: A hierarchy, a system where items are arranged in an "above-below" relation. A system that is composed of several layers.
When computing a t-test, it is important to keep in mind the degrees of freedom, which will depend on the level of the predictor (e.g., level 1 predictor or level 2 predictor). [5] For a level 1 predictor, the degrees of freedom are based on the number of level 1 predictors, the number of groups and the number of individual observations.
Multi-level governance is an approach in political science and public administration theory that originated from studies on European integration.Political scientists Liesbet Hooghe and Gary Marks developed the concept of multi-level governance in the early 1990s and have continuously been contributing to the research program in a series of articles (see Bibliography). [3]
Multilevel security or multiple levels of security (MLS) is the application of a computer system to process information with incompatible classifications (i.e., at different security levels), permit access by users with different security clearances and needs-to-know, and prevent users from obtaining access to information for which they lack authorization.
This is an accepted version of this page This is the latest accepted revision, reviewed on 7 March 2025. Hypothetical group of multiple universes Not to be confused with Metaverse. "Multiverses" redirects here; not to be confused with MultiVersus. For other uses, see Multiverse (disambiguation). Part of a series on Physical cosmology Big Bang · Universe Age of the universe Chronology of the ...
This is a list of companies which use multi-level marketing (also known as network marketing, [1] [2] [3] ...
The growth of self-directed cross-functional teams has influenced decision-making processes and organizational structures. Although management theory likes to propound that every type of organizational structure needs to make strategic, tactical, and operational decisions, new procedures have started to emerge that work best with teams.
One application of multilevel modeling (MLM) is the analysis of repeated measures data. Multilevel modeling for repeated measures data is most often discussed in the context of modeling change over time (i.e. growth curve modeling for longitudinal designs); however, it may also be used for repeated measures data in which time is not a factor.