Continuing from Quiz 4 (i.e. not reloading the Data Cleaning dataset), note that the student observation variables s1_stu_act_obs1 and s1_stu_act_obs2 take on values 1 through 6. Suppose that those values stood for the following: 1 = paying attention to teacher, 2 = working alone, 3 = working in group, 4 = talking to friend, 5 = other not on task, 6 = bathroom break. Label these values. Then create a new variable that counts the number of times that a student was ‘on-task’ across the two observations. ‘On-task’ is defined as paying attention to the teacher, working alone, or working in a group. Your new variable should have values 0, 1, or 2, since each student was observed twice. (The new variable should be missing if either or both observations are missing).
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1. What percent of students were on task during both observations? Round to the nearest whole number.
2. What happens if you run the regress command, but one of the variables that you specify in your command is stored as a string variable?
3. Which of the following information could be used to identify specific respondents, and should be removed when de-identifying the dataset? (select all that apply)
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