Assignment: Quantitative Research IP
You will be using SPSS software to do most of your analyses. SPSS is at the mercy of your input.
Properly classifying the variables that are part of a study is essential to a correct analysis in SPSS. SPSS classifies variables as nominal, ordinal, or scale and requires explaining any coding of your data in areas such as the Values column of Variable View.
A. Define the term variables in quantitative analysis? (You do not need to explain the differences between dependent and independent variables, instead focus on the type of data that can be entered for nominal, ordinal, and scale data.)
B. What are the key differences between nominal, ordinal, and scale data? Provide an example of each type of data.
C. In what situations could you find each type of data?
D. Why is it important in SPSS that you correctly define the variables in Variable View?
Format your assignment according to the give formatting requirements:
• The answer must be using Times New Roman font (size 12), double spaced, typed, with one-inch margins on all sides.
• The response also includes a cover page containing the student's name, the title of the assignment, the course title, and the date. The cover page is not included in the required page length.
• Also include a reference page. The references and Citations should follow APA format. The reference page is not included in the required page length.