+ Reply to Thread
Page 4 of 4 FirstFirst 1 2 3 4
Results 46 to 48 of 48

Thread: Understanding Multilevel Model

  1. #46
    TS Contributor
    Points: 22,344, Level: 92
    Level completed: 99%, Points required for next Level: 6
    spunky's Avatar
    Location
    vancouver, canada
    Posts
    2,135
    Thanks
    166
    Thanked 537 Times in 431 Posts

    Re: Understanding Multilevel Model




    Quote Originally Posted by ted00 View Post
    an approach is to do two analyses, one using the prior of a pessimist, the other using the prior of an optimist
    compromise! i luv the idea!
    for all your psychometric needs! https://psychometroscar.wordpress.com/about/

  2. #47
    Points: 2,109, Level: 27
    Level completed: 73%, Points required for next Level: 41
    ted00's Avatar
    Location
    USA
    Posts
    237
    Thanks
    21
    Thanked 29 Times in 25 Posts

    Re: Understanding Multilevel Model

    Quote Originally Posted by spunky View Post
    compromise! i luv the idea!


    yeah, it's hardly mine, remember reading it in a book or a paper, no idea where, but saw it somewhere...
    The mathematical explanation of a statistical procedure is really just pseudo-code, which we can make operational by translating it into real computer code. --B. Klemens

  3. #48
    ggplot2orBust
    Points: 71,220, Level: 100
    Level completed: 0%, Points required for next Level: 0
    Awards:
    User with most referrers
    trinker's Avatar
    Location
    Buffalo, NY
    Posts
    4,417
    Thanks
    1,811
    Thanked 928 Times in 809 Posts

    Re: Understanding Multilevel Model


    Spunky on centering:

    Quote Originally Posted by Spunky
    i thought that we had gone over this before, but i'll just quote it againf or refernce. from the Enders & Tofighi (2007) where they say CWC = Centering Within Cluster and CGM =
    (a) CWC is appropriate if the Level 1 association between X and Y is of subtantive interest
    (b) CGM is appropriate when one is primarily interested in a Level 2 predictor and wants to control for Level 1 covariates;
    (c) either CGM or CWC can be used to examine the differential influence of a variable at Level 1 and Level 2;
    (d) CWC is preferable for examining cross-level interactions and interactions that involve a pair of Level 1 variables, and CGM is appropriate for interactions between Level 2 variables

    particularly because of reason (d) i find Centering Within Cluster particularly useful. especially if you need to work with interactions like say, i dunno, 'gender' and 'school SocioEconomicStauts' or other level2 contextual effects
    @ trinker. here's the article i took it from. i'm almost sure i sent this refernce to you already. i think it's worthwhile to read it
    http://www-bcf.usc.edu/~sping/PM-515...20analysis.pdf
    "If you torture the data long enough it will eventually confess."
    -Ronald Harry Coase -

+ Reply to Thread
Page 4 of 4 FirstFirst 1 2 3 4

           




Tags for this Thread

Posting Permissions

  • You may not post new threads
  • You may not post replies
  • You may not post attachments
  • You may not edit your posts






Advertise on Talk Stats