Question

understanding the different types of measurement scales (i.e., levels of measurement-- like nominal, ordinal, interval and ratio) is important because certain statistica appropriate for scores that have been measured on some scales but not on others.
true
false

7 multiple choice 10 points
a/an ______ scale consists of ordered categories that are all intervals of exactly the same size. that is, equal differences between numbers on the scale reflect differences in magnitude. however, the zero point of this scale is arbitrary, meaning that the scale does not have a true (aka absolute) zero point.
nominal
ordinal
interval
ratio

8 multiple choice 10 points
asking a research participant to indicate their eye color (blue, green, brown, etc.) on a survey would be a/an ______ level of measurement.
nominal
ordinal
interval
ratio

Explanation:

Question 1 (True/False)

Different measurement scales (nominal, ordinal, interval, ratio) have different statistical methods applicable. For example, parametric tests like t - tests are for interval/ratio data, while non - parametric tests are for nominal/ordinal. So understanding scales is important for choosing appropriate stats. Thus, the statement is True.

• Nominal: Categories with no order or equal intervals.
• Ordinal: Ordered categories but unequal intervals.
• Interval: Ordered categories with equal intervals, zero is arbitrary (e.g., temperature in Celsius).
• Ratio: Has true zero and equal intervals (e.g., weight). The description matches interval scale.

• Nominal: Used for categorizing data with no inherent order (eye color: blue, green, brown are just categories).
• Ordinal: Has order (e.g., satisfaction levels: low, medium, high).
• Interval: Equal intervals, no true zero.
• Ratio: True zero. Eye color is a nominal measurement as it's just categorization.

Answer:

True

Question 7 (Multiple Choice)