3. Analysing Data Evaluation

Question 1

What are the strengths of Nominal data?

Answer 1

Easy to generate from closed questions - large amount of questions can be collected and categorised quickly - increasing reliability

Question 2

What are the strengths of Ordinal data?

Answer 2

Indicates relative values on linear scale instead of just totals, more informative than nominal data

Question 3

What are the strengths of Interval data?

Answer 3

Most informative as the points are directly comparable because they are all of equal value ; scientific measures (mean + SD) used to record the distance between values are highly reliable + suited to most types of statistical analysis

Question 4

What are the weaknesses of Nominal data?

Answer 4

Because it does not give a numerical score for each participant, this crude type of data does not permit sensitive analysis

Question 5

What are the weaknesses of Ordinal data?

Answer 5

subjective data - as scaled data is open to interpretation. For example, on a scale of 1-5 of attractiveness, 4 could mean different things to different people

Question 6

What are the weaknesses of Interval data?

Answer 6

• no absolute baseline
• Interval scales that do not contain scientific measurements there is no absolute baseline to the scale so scoring 0 may not mean the participant doesn’t demonstrate the variable but that the scale doesn’t measure it

Question 7

What Average is used for Nominal data?

Answer 7

Mode

Question 8

What Average is used for Ordinal data?

Answer 8

Mode

Median

Question 9

What Average is used for Interval data?

Answer 9

Mode
Median
Mean