• Interpretation of tables
  
  • Questions to be asked
    
    • Is there a relationship?
      
      • changes in column percentages
        
      
      
    • How strong is the relationship
      

      magnitude of:

      percentage changes measures of association

      
      
    • What is the direction of the relationship?
      [ordinal or interval/ratio only]
      
      • distribution of cases in the table
        
        • high scores w/ high scores
          low w/ low => Positive
          
          
        • low scores w/ high scores
          high w/ low => Negative
          
      • sign of measure of association
        
      
      
    • Is the relationship significant?
      
      • Chi-square and t
        
        • probability value represents the probability that the null hypothesis is true for the population
          
          
    • What is the plain English interpretation of the results?
      • Don't just give the statistical intepretation ("The Robot Answer"), also give the interpretation in terms of your concept.

• what are they?
  
• inverse relationship between probabilities of committing each type
  

• introduction of a control variable
  
• examine the relationship between the IV and DV for each category of the control variable
  
• what happens to the relationship?
  

Note: In the interpretation of measures of association you should be aware of:

• which measures are appropriate for which types of data
  
• how the statistics should be interpreted in terms of measuring strength, direction and PRE.