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  • How to explain correlations?

    Hi, I did a chi-square to test correlation between a categorial (nominal) independent variable and a dependent binary variable. There seems to be significance btween the 2 variables.
    Now I want to explore the significance. So I've made dummy binary variables of the independent variable (ethnicity= creole: 1=yes, 0=no; indigenious: 1=yes, 0=no; etc.). What type of test should I do to explore how the variables are related to the dependent variable. The depentend variable is a type of coping strategy (1=yes and 0=no)

  • #2
    A test requires a hypothesis. If you want to explore how the variables are related to the dependent variable, then you want to look at descriptive statistics. In this case a simple cross-tabulation will do.

    Code:
    .  sysuse nlsw88, clear
    (NLSW, 1988 extract)
    
    . tab race collgrad , row nofreq
    
               |   College graduate
          Race | Not colle  College g |     Total
    -----------+----------------------+----------
         White |     74.34      25.66 |    100.00
         Black |     82.33      17.67 |    100.00
         Other |     65.38      34.62 |    100.00
    -----------+----------------------+----------
         Total |     76.31      23.69 |    100.00
    So in this case we see that white are about 8 percentage points more likely to have a college degree than black, while other are 9 percentage points more likely to have a college degree than white.
    ---------------------------------
    Maarten L. Buis
    University of Konstanz
    Department of history and sociology
    box 40
    78457 Konstanz
    Germany
    http://www.maartenbuis.nl
    ---------------------------------

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