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Thread: [Research Statistics] Chi-Squared Test?

  1. #1
    Sep 2009

    [Research Statistics] Chi-Squared Test?


    I've got some data that I need to do some analysis on, and I THINK I've selected the right test, but I don't want to risk being wrong.

    I want to do the tests on a measure of Gestational Diabetes in conjunction with Iron and/or Vitamin C supplementation, so:

    Dependent Variable:
    Gestational Diabetes (GDM) (0 = no; 1 = yes)

    Independent Variables:
    Iron Supplementation (0 = no; 1 = yes)
    Vitamin C Supplementation (0 = no; 1 = yes)

    And in measuring them I would need to have 4 variables (I think?), those being:

    Iron Only
    Vitamin C Only

    So from what I understand, I should be able to do a chi-squared test, since they're all categorical variables? Is that correct, or did I miss something big? Furthermore, do I need to do a chi-squared test on each category (e.g. GDM Yes - Iron Only; GDM Yes - Vitamin C Only; GDM No - Iron Only; etc)

    Also, I need to validate those against a few confounding variables, namely

    Age (continuous)
    Body Mass Index (continuous)
    Parity (continuous)

    To compare against those, would I need to use a t test? Would I compare each confounder to each of the 4 categories above (Iron, Vit C, Both, Neither)? Or would I need to somehow compare all of them at once to the variables, or..?

    Last edited by b1177; Sep 27th 2009 at 05:18 PM.
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