L EXERCISE 15.1 This exercise resembles the preceding exercise. The variables in this case are: 1) the gender of automobile drivers, 2) whether they have driven "many" miles in their lives or "few" miles, and 3) whether they have had "many" accidents or "few" accidents. You are to use the elaboration model to test fully the following hypothesis about the impact of gender on number of automobile accidents: Hypothesis: Men have more automobile accidents than do women. In testing this hypothesis, complete the items that follow the data table. SEX MILES # OF DRIVEN N ACCIDENTS L L Women Few Many 20 Women Few Few Women Many Many 80 Women Many Few 20 Men Few Many Men Few Few 45 Men Many Many Men Many Few 40 28225 7 8 g 180 160 1. Identify the independent and dependent variables in the hypothesis. Construct the bivariate table that tests this basic hypothesis. Be sure you follow the guidelines for effective table presentation and analysis discussed in Chapter 15. Interpret the results. 2. Construct the other two bivariate tables that examine the relationship of the control variable first to the independent variable and then to the dependent variable of the original hypothesis. Interpret the results. 3. Construct the trivariate table appropriate for assessing the effect of the control variable on the original relationship. Do this by presenting two versions of the original bivariate table, one for each attribute of the control variable. Analyze the results. 4. Which form of the elaboration model best represents the pattern of your results? Why?