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  1. MULTILEVEL Definition & Meaning - Merriam-Webster

    The meaning of MULTILEVEL is having more than one level. How to use multilevel in a sentence.

  2. Multilevel model - Wikipedia

    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.

  3. MULTILEVEL | English meaning - Cambridge Dictionary

    (of a course, organization, system, etc.) divided into or involving several levels of ability, importance, etc.: complex, multilevel governance structures

  4. MULTILEVEL Definition & Meaning | Dictionary.com

    MULTILEVEL definition: having different levels or planes. See examples of multilevel used in a sentence.

  5. Multilevel Modeling: A Complete Guide for Data Scientists

    Jan 22, 2025 · Multilevel modeling (MLM), also known as hierarchical or mixed-effects modeling, is a statistical technique designed to analyze data with nested or hierarchical structures.

  6. MULTILEVEL definition in American English | Collins English Dictionary

    Definition of 'multilevel' multilevel in American English (ˌmʌltɪˈlevəl) adjective having different levels or planes

  7. What are multilevel models and why should I use them?

    What are multilevel models? Many kinds of data, including observational data collected in the human and biological sciences, have a hierarchical or clustered structure.

  8. What Is Multilevel Modelling? - Multilevel Modelling for Public …

    Feb 29, 2020 · We use multilevel modelling when we are analysing data that are drawn from a number of different levels and when our outcome is measured at the lowest level.

  9. multilevel, adj. & n. meanings, etymology and more | Oxford English ...

    Factsheet What does the word multilevel mean? There are four meanings listed in OED's entry for the word multilevel. See ‘Meaning & use’ for definitions, usage, and quotation evidence.

  10. Use the likelihood-ratio test (lrtest) to compare models fitted by maximum likelihood. This test compares the “log likelihood” (shown in the output) of two models and tests whether they are significantly …