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Multi-level marketing (MLM), also called network marketing [1] or pyramid selling, [2] [3] [4] is a controversial [4] and sometimes illegal marketing strategy for the sale of products or services in which the revenue of the MLM company is derived from a non-salaried workforce selling the company's products or services, while the earnings of the participants are derived from a pyramid-shaped or ...
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.
Multilevel models are a subclass of hierarchical Bayesian models, which are general models with multiple levels of random variables and arbitrary relationships among the different variables. Multilevel analysis has been extended to include multilevel structural equation modeling, multilevel latent class modeling, and other more general models.
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.
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.
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]
The rapid exploration of complex networks in recent years has been dogged by a lack of standardized naming conventions, as various groups use overlapping and contradictory [28] [29] terminology to describe specific network configurations (e.g., multiplex, multilayer, multilevel, multidimensional, multirelational, interconnected).
The multilevel regression is the use of a multilevel model to smooth noisy estimates in the cells with too little data by using overall or nearby averages. One application is estimating preferences in sub-regions (e.g., states, individual constituencies) based on individual-level survey data gathered at other levels of aggregation (e.g ...