Business Finance - Operations Management Quantitative Analysis: Data Coding, Entry, and Checking Assignment

INTERPRETATION QUESTIONS

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?