Answer to Question 1
1
Rationale 1: Ratio level data have categories that are mutually exclusive and exhaustive, can be rank ordered with equal distance between rank, and a true or natural zero point can be identified.
Rationale 2: Interval level of measurement concerns data that not only can be placed into categories and ranked but also requires that the distance between the ranks can be specified. Body temperature is an example of interval scale.
Rationale 3: Data that can be rank ordered, as well as placed into categories, are considered to be at the ordinal level of measurement. An example is categorizing anxiety levels as mild, moderate, or severe.
Rationale 4: Nominal level of measurement includes mutually exclusive categories that are exhaustive. Examples are gender, religious affiliation, marital status, and political party membership.
Global Rationale:
Answer to Question 2
2
Rationale 1: Temperature is measured at interval level, whereas weight is measured at the higher ratio level. The categories in interval data are the actual numbers on the scale (such as on a thermometer).
Rationale 2: Weight is generally considered to be measured at ratio level, which is the highest level of measurement. Ratio level of measurement includes data that can be categorized and ranked; in addition, the distance between ranks can be specified, and a true or natural zero point can be identified.
Rationale 3: Temperature is measured at interval level; weight is measured at the ratio level.
Rationale 4: There is sufficient information for the analysis of this question.
Global Rationale:
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Two-point gait.
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Set-Point Theory