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  1. 1
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    Data analysis using regression and multilevel/hierarchical models /
  2. 2
    by Luke, Douglas A.
    Published 2004
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    Multilevel modeling /
  3. 3
    by Zuur, Alain F.
    Published 2009
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    Mixed effects models and extensions in ecology with R /
  4. 4
    Published 2013
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    Structural equation modeling : a second course /
  5. 5
    by Courgeau, Daniel
    Published 2007
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    Multilevel synthesis : from the group to the individual /
  6. 6
    by Smith, Robert B. 1936-
    Published 2011
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    Multilevel modeling of social problems : a causal perspective /
  7. 7
    Published 2016
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    Multilevel network analysis for the social sciences : theory, methods and applications /
  8. 8
    by Browne, William J. 1972-
    Published 2011
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    What is multilevel modelling? /
  9. 9
    Published 2013
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    The SAGE handbook of multilevel modeling /
  10. 10
    Published 2015
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    My career as a social scientist /
  11. 11
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    Cross-national research with multilevel data : is national income inequality good for all? /
  12. 12
    by Kasim, Rafa, Kalaian, Sema
    Published 2014
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    Multilevel meta-analysis : effectiveness of small-group learning methods compared to lecture-based instruction in science, technology, engineering, and mathematics college classrooms /
  13. 13
    by Hazama, Yasushi, 1961-
    Published 2016
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    Constitutional review in Turkey : multilevel analysis /
  14. 14
    Published 2008
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    Handbook of multilevel analysis /
  15. 15
    by Robson, Karen, Pevalin, David J.
    Published 2016
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    Multilevel modeling in plain language /
  16. 16
    by Leyland, A. H., Groenewegen, P. P.
    Published 2020
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    Multilevel modelling for public health and health services research : health in context /
  17. 17
    Published 2022
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    Multilevel modeling methods with introductory and advanced applications /
  18. 18
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    Mixed-effects models and small area estimation /
  19. 19
    by Barreda, Santiago, Silbert, Noah
    Published 2023
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    Bayesian multilevel models for repeated measures data : a conceptual and practical introduction in R /
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