Focus on Relationships between variables - an example
        165.  PREMARITAL SEX ATTITUDES-  FEMALE         VALUES IN THE TABLE 
          Expected  Disapproved  Disallowed             ARE PERCENTS
            ________Y_________________         63. 
           |__1-2___|__3-4___|___5-6_|   COMMUNITY SIZE    N                  
       X   |                         |
          1|   63        5        32 |      < 50           19
          2|   56       22        22 |     50-99           18
          3|   44       35        21 |    100-199          34
          4|   45       25        30 |    200-399          20
          5|___48___    26        26 |    400-999          23
          6    11   |   33        56 |  1,000-4,999         9
          7     0   |___40___     60 |  5,000-49,999        5
          8     0        0   |___100_|      > 50,000        2
      
       Totals  58       33        39                      130
         r = .257  p < .01 (significant -- using Fisher-b)
      
        This example of a table, from a student project, shows us a relationship between 
        Community Size and Premarital Sexual Attitudes for females.  The table was made 
        with MAPTAB (World Cultures 7(2):2-25, see DW if you want a copy of the Tutorial), 
        but can be done just as easily in SPSS using files 3 and 7).  I want to call your
        attention to the asymmetric relationship between the two variables:
      
           If --------X----- (more X)  then ---------Y---------------- (more Y)
        1. As Community Size increases ---> Approval of Premarital Sex (1-2) drops off and
                                            drops off quickly above sizes of 1,000
                                            to more widespread disapproval (3-4; 5-6).
      
        This is a conditional relationship: the converse relationship is not so strong.
      
           If --------X----- (less X)  then ---------Y---------------- (less Y)
        2. As Community Size decreases ---> disapproval may drop (but not always), 
                                            but below 1,000 tendency is very small.  
      
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        Quick Review of Forms of relationship: (predicate logic)
      
        Root Form:                                Opposite (Negative)
      
        1. If X then Y (or more Y)                2. If X then not Y (less Y)
      
        Converse (doesnt follow from the root)    Opposite of Converse
      
        3. If Y then X (or more X)                4. If Y then not X (less X)
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        Each of these distinct statements has an equivalent contrapositive:
      
        Root Form Contrapositive:                 Contrapositive of Opposite 
      
        1. If NOT Y then NOT X (or LESS X)        2. If Y then not X (MORE X)
      
        Contrapositive of Converse                Contrapositive of Opposite of Converse
      
        3. If NOT X then NOT Y (or LESS Y)        4. If X then not Y (MORE Y)
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       (Note that I stated the converse in the example in contrapositive form, form  3.) 
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       Take home: JUST GETTING YOUR LOGIC STRAIGHT IS HALF THE BATTLE