PART B EXERCISES B1. For these exercises, you will be using the SPSS dataset Polit2SetA. Begin by computing a correlation matrix for four variables using Analyze ➜ Correlate ➜ Bivariate. Move the...

PART B EXERCISES

B1. For these exercises, you will be using the SPSS dataset Polit2SetA. Begin by computing a correlation matrix for four variables using Analyze ➜ Correlate ➜ Bivariate. Move the following four variables into the slot for Variables: the woman’s age at first birth (age1bir), highest grade completed (higrade), number of hours worked per week, among women who were employed (workweek), and family income in the prior month (income). Check to make sure the following options are selected, as they usually are because they are the defaults: under Correlation Coefficients, Pearson; under Test of Significance, TwoTailed, and Flag significant correlations. Click on the Options pushbutton, and click the option to obtain means and SDs for all variables. Also, select Exclude cases pairwise as the Missing Values option. Then click Continue and OK, and answer the following questions: (a) What is the range of Ns for the four variables in this analysis? (b) What is the highest correlation coefficient in the matrix? Is it statistically significant—and, if so, at what level? (c) What is the weakest correlation coefficient in the matrix? Is it statistically significant—and, if so, at what level? (d) What percent of variance does age at first birth share with highest grade completed? What percent of variance does weekly hours worked share with household income? (e) Do you think it would be appropriate to present such a correlation matrix in a report? Why or why not?