B5. We will next explore patterns of missingness for the CES-D scale score. First, create a missing values indicator variable, which we will call cesdstat. Select Transform ➜ Compute Variable, and...

B5. We will next explore patterns of missingness for the CES-D scale score. First, create a missing values indicator variable, which we will call cesdstat. Select Transform ➜ Compute Variable, and enter cesdstat into the slot for Target Variable. Set the new variable equal to 1 by entering the number 1 into the Numeric Expression field, then click OK. Then, click Compute Variable again, enter the number 2 in the Numeric Expression field, and click the If pushbutton. In the next dialog box, click “Include if case satisfies condition,” and then enter the following: cesd  0 AND cesd  60. This will set the value of the new cesdstat variable to 2 for those cases that have a valid value, which is between 0 and 60. Then click Continue and OK. (The values can be labeled by clicking the Variable View tab at the bottom of the screen—for example code 2 could be labeled, Has a CESD score.) Check that this new cesdstat variable has been properly created by running a frequency distribution. How many cases were coded 1 and how many were coded 2? Does this correspond to what you learned in Exercise B4?