Levels Of Measurement

Question 1

Nominal data?

Answer 1

Data as totals of Named categories that are unrelated.
Eg) saying ‘yes’ or ‘No’
Closed questions generate nominal data

Question 2

Ordinal Data?

Answer 2

Data as points on a scale are in order.

Eg)worst to best -size of each increase doesn’t have to be equal

Question 3

Interval data ?

Answer 3

Scores on a linear scale- points increase in value.
Eg; measure of intelligence or personality
Equal intervals between the points

Question 4

Strengths of nominal data

Answer 4

+Easy to generate from closed questions-Large amount collected quickly-Reliable
+Quick to find mode to assess central tendency

Question 5

Weaknesses of nominal data

Answer 5

• Without linear scale- parts unable to express degrees of response
• Medians and means can’t be used to asses central tendency

Question 6

Strengths of ordinal data

Answer 6

+More information than nominal-Indicates relative values rather than just totals
+easy to generate from likert and rating scales
+median and mode can be used to assess central tendency

Question 7

Weaknesses of ordinal data

Answer 7

• Gaps between points are relative so comparisons may be invalid as they may interpret the scale differently
• Mean can’t be used as size of each increase doesn’t have to be equal

Question 8

Strengths of interval data

Answer 8

+Points are of equal value-directly comparable-more information
+Easy to generate form closed questions
+linear scale with equal gaps between points-mean,median,mode used

Question 9

Weaknesses of interval data

Answer 9

-Interval scale that’s not scientific have no absolute baseline to the scale so scoring zero may not mean that parts doesn’t demonstrate that variable at all, merely that the scale doesn’t measure it