QUANTITATIVE ANALYSIS: DATA CODING, ENTRY, AND CHECKING
Interpretation Questions
Chapter 2
A1. 2.1. What steps or actions should be taken after you collect data and before you run the analyses aimed at answering your research questions or testing your research hypotheses?
A1. 2.2. Why should you label the values of nominal variables?
A1. 2.3. Why would you print a codebook or dictionary?
A1. 2.4. What do you do if you look at your data file and see words or letters instead of
numbers? Why is this important to do?
A1. 2.5. Why would you use the Mean function to create a variable, as we did for the pleasure
scale?
A1. 2.6. (a) Why is it important to check your raw (questionnaire) data before and after entering
them into the data editor? (b) What are ways to check the data before entering them? After
entering them?
SPSS Problems
Chapter 2
Using the CollegeStudentData.sav file (see Appendix A in the Morgan, Barrett, Leach and
Glockner) do the following problems. Print your outputs and circle the key parts for discussion.
Compute the N, minimum, maximum, and mean for all the variables in the College
StudentData.sav file. How many students have complete data? Identify any statistics on the
output that are not meaningful. Explain.
What is the mean height of the students? What about the average height of the same-sex parent?
What percentage of students are males? What percentage have children?
