Levels Of Data

Question 1

Nominal data:

Answer 1

Categories, such as: ‘yes’ ‘no’,

-Grant et al. Used this in multiple choice out of 16 in phase 2 of his procedure.

Question 2

Strengths of nominal:

Answer 2

• easy to generate, so large amounts of data collected quickly
• quick to find the mode to asses central tendency

Question 3

Weakness of nominal:

Answer 3

• points not on linear scale so mean and medians can’t be used
• can only use mode as a measure of spread

Question 4

Ordinal:

Answer 4

• subjective (rating depression)
• can be numbers or words
• like a likehert scale

Question 5

Strength of ordinal:

Answer 5

• more informative than nominal

- easy to generate

Question 6

Weaknesses of ordinal:

Answer 6

• maybe invalid- scale can be interpret the scale differently
• a mean can’t be used as gaps between points are not equal

Question 7

Interval data:

Answer 7

• scores on a linear scale
• true zero
• have an equal and exact difference between values
• objective (like temp. Or time.)

Question 8

Strength of interval data:

Answer 8

• more informative than nominal and ordinal as equal difference between points
• easy to generate form closed
• mean, mode, median, variance and standard deviation can be used

Question 9

Weaknesses of interval:

Answer 9

-no baseline in interval scales that are not scientific measures