Part 1
- Specify which questionnaire you selected.
- Identify the level of measurement for questions 1-10.
QUESTIONNAIRES (select only one)
Community College Survey of Student EngagementLinks to an external site.
Sexual Attitudes and Experiences SurveyDownload Sexual Attitudes and Experiences Survey
All variables are exhaustive and mutually exclusive so don’t use that to determine the level of measurement.
NOMINAL
- You CAN’T rank the categories/attributes of nominal level variables
ORDINAL
- Categories/attributes CAN be ranked
- No standard/equal distance BETWEEN and WITHIN every category
INTERVAL
- Categories/attributes CAN be ranked
- Standard/equal distance between/within EVERY category
- No “true” zero (0) point. That is, a value of zero does NOT mean “none”
RATIO
- Categories/attributes CAN be ranked
- Standard/equal distance between/within EVERY category
- A “true” zero (0) point. That is, a value of zero means “none”
Decision Tree
First, ask yourself, “Can I rank the categories?” If the answer is “No”, then STOP! Your variable is NOMINAL. If you can’t rank the categories, don’t worry about standard (equal) distances and true zero.
Second, if categories can be ranked, ask yourself, “Is EVERY category equal in range?” If the answer is “No”, then STOP! Your variable is ORDINAL. If the distances are not standard, don’t concern yourself with a true zero.
Third, if the categories can be ranked AND there’s a standard distance between and within every category, ask yourself, “Does zero mean none?” If the answer is “No”, STOP! The variable is INTERVAL.
FYI: Interval level measures are rare.
Last, if the categories can be ranked, there is equal distance within and between every category, and there is a true zero, then you have RATIO.
Part 2
Alone or with a partner(s) (no more than 3 in a group):
- Write 1 ratio level question
- What question did the researcher(s) ask to get these data?
4. What is ONE question the researchers asked to get these data?
1 point for each answer
1. What is ONE question the researchers asked to get these data?
2. What is ONE conclusion you can draw from these data? What is the IV and DV from your conclusion? (both questions must be answered correctly to earn 1 point)