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#multilevelmodeling — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #multilevelmodeling, aggregated by home.social.

  1. Very important work by James Pustejovsky (@jepusto), Jingru Zhang (not on Mastodon as far as I can tell), and Elizabeth Tipton (@stats_tipton) on how to conduct meta-regression analyses when at least some studies provide multiple (possibly dependent) effect size estimates corresponding to different values of the moderator:

    jepusto.com/talk/sree-2023-equ

    In general, there are a lot of lessons from the multilevel literature we can learn from.

    #MetaAnalysis #MetaRegression #MultilevelModeling

  2. Very important work by James Pustejovsky (@jepusto), Jingru Zhang (not on Mastodon as far as I can tell), and Elizabeth Tipton (@stats_tipton) on how to conduct meta-regression analyses when at least some studies provide multiple (possibly dependent) effect size estimates corresponding to different values of the moderator:

    jepusto.com/talk/sree-2023-equ

    In general, there are a lot of lessons from the multilevel literature we can learn from.

    #MetaAnalysis #MetaRegression #MultilevelModeling

  3. Very important work by James Pustejovsky (@jepusto), Jingru Zhang (not on Mastodon as far as I can tell), and Elizabeth Tipton (@stats_tipton) on how to conduct meta-regression analyses when at least some studies provide multiple (possibly dependent) effect size estimates corresponding to different values of the moderator:

    jepusto.com/talk/sree-2023-equ

    In general, there are a lot of lessons from the multilevel literature we can learn from.

    #MetaAnalysis #MetaRegression #MultilevelModeling

  4. Very important work by James Pustejovsky (@jepusto), Jingru Zhang (not on Mastodon as far as I can tell), and Elizabeth Tipton (@stats_tipton) on how to conduct meta-regression analyses when at least some studies provide multiple (possibly dependent) effect size estimates corresponding to different values of the moderator:

    jepusto.com/talk/sree-2023-equ

    In general, there are a lot of lessons from the multilevel literature we can learn from.

    #MetaAnalysis #MetaRegression #MultilevelModeling

  5. Very important work by James Pustejovsky (@jepusto), Jingru Zhang (not on Mastodon as far as I can tell), and Elizabeth Tipton (@stats_tipton) on how to conduct meta-regression analyses when at least some studies provide multiple (possibly dependent) effect size estimates corresponding to different values of the moderator:

    jepusto.com/talk/sree-2023-equ

    In general, there are a lot of lessons from the multilevel literature we can learn from.

    #MetaAnalysis #MetaRegression #MultilevelModeling

  6. Another #PeerReview finished.

    Paper ~ 7000 words
    Review ~ 2000 words
    Duration ~ 2 hours

    I notice a long manuscript less, if it is well-written. Main point here once again:

    #MixedModels are difficult to report. This paper offers a lot of detail on how to develop such a project and report it (especially Table 7): sciencedirect.com/science/arti

    The chapter in Hancock & Mueller's "The reviewer's guide to quantitative methods in the social sciences" is also very helpful.

    #MultilevelModeling

  7. Another #PeerReview finished.

    Paper ~ 7000 words
    Review ~ 2000 words
    Duration ~ 2 hours

    I notice a long manuscript less, if it is well-written. Main point here once again:

    #MixedModels are difficult to report. This paper offers a lot of detail on how to develop such a project and report it (especially Table 7): sciencedirect.com/science/arti

    The chapter in Hancock & Mueller's "The reviewer's guide to quantitative methods in the social sciences" is also very helpful.

    #MultilevelModeling

  8. Another #PeerReview finished.

    Paper ~ 7000 words
    Review ~ 2000 words
    Duration ~ 2 hours

    I notice a long manuscript less, if it is well-written. Main point here once again:

    #MixedModels are difficult to report. This paper offers a lot of detail on how to develop such a project and report it (especially Table 7): sciencedirect.com/science/arti

    The chapter in Hancock & Mueller's "The reviewer's guide to quantitative methods in the social sciences" is also very helpful.

    #MultilevelModeling

  9. Another #PeerReview finished.

    Paper ~ 7000 words
    Review ~ 2000 words
    Duration ~ 2 hours

    You notice a long manuscript less, if it is well-written.

    Main point here once again: #MixedModels are difficult to report.

    This paper offers a lot of detail on how to develop such a project and report it (especially Table 7): sciencedirect.com/science/arti

    The chapter in Hancock & Mueller's "The reviewer's guide to quantitative methods in the social sciences" is also very helpful.

    #MultilevelModeling

  10. Another #PeerReview finished.

    Paper ~ 7000 words
    Review ~ 2000 words
    Duration ~ 2 hours

    You notice a long manuscript less, if it is well-written.

    Main point here once again: #MixedModels are difficult to report.

    This paper offers a lot of detail on how to develop such a project and report it (especially Table 7): sciencedirect.com/science/arti

    The chapter in Hancock & Mueller's "The reviewer's guide to quantitative methods in the social sciences" is also very helpful.

    #MultilevelModeling

  11. Another #PeerReview finished.

    Paper ~ 7000 words
    Review ~ 2000 words
    Duration ~ 2 hours

    You notice a long manuscript less, if it is well-written.

    Main point here once again: #MixedModels are difficult to report.

    This paper offers a lot of detail on how to develop such a project and report it (especially Table 7): sciencedirect.com/science/arti

    The chapter in Hancock & Mueller's "The reviewer's guide to quantitative methods in the social sciences" is also very helpful.

    #MultilevelModeling

  12. Another #PeerReview finished.

    Paper ~ 7000 words
    Review ~ 2000 words
    Duration ~ 2 hours

    You notice a long manuscript less, if it is well-written.

    Main point here once again: #MixedModels are difficult to report.

    This paper offers a lot of detail on how to develop such a project and report it (especially Table 7): sciencedirect.com/science/arti

    The chapter in Hancock & Mueller's "The reviewer's guide to quantitative methods in the social sciences" is also very helpful.

    #MultilevelModeling

  13. Another #PeerReview finished.

    Paper ~ 7000 words
    Review ~ 2000 words
    Duration ~ 2 hours

    You notice a long manuscript less, if it is well-written.

    Main point here once again: #MixedModels are difficult to report.

    This paper offers a lot of detail on how to develop such a project and report it (especially Table 7): sciencedirect.com/science/arti

    The chapter in Hancock & Mueller's "The reviewer's guide to quantitative methods in the social sciences" is also very helpful.

    #MultilevelModeling