Unit 1 - Levels + Types of Data

Question 1

What is nominal data?

Answer 1

The lowest level of data. It is a ‘headcount’ of no. of participants who do one thing opposed to another (like a tally).

Question 2

What is ordinal data?

Answer 2

Data is either placed or can be placed into rank order, highest to lowest, not account taken of how much further highest is from second highest, etc. (like a memory test).

Question 3

What is interval/ratio data?

Answer 3

Any data with a universal measurement, individual results, and shows that if highest is much further ahead than second… Interval can go into negative values. Ratio has a true zero point.

Question 4

What is quantitative data?

Answer 4

‘Quantities’ of things - numbers, raw score, etc. It is a measurement telling how much of something there is.

Question 5

What is qualitative data?

Answer 5

‘Qualities’ of things - descriptions, words, meanings, etc. Cannot be readily counted.

Question 6

What is primary data?

Answer 6

Collecting data directly.

Question 7

What is secondary data?

Answer 7

Analysing information that already exists.

Question 8

What is a strength of quantitative data?

Answer 8

Quick and easy to obtain, reliablity increased. Analysis of data is easy. Can compare across conditions/individuals easily.

Question 9

What is a weakness of quantitative data?

Answer 9

Limited results as data is numerical, fails to answer how or why.

Question 10

What is a strength of qualitative data?

Answer 10

More in depth conclusions, responses are better understood. E.g. Asking ‘why’ (give reasons for response)

Question 11

What is a weakness of qualitative data?

Answer 11

Not possible to present in graphs, tables, or charts - unless can be collated into a small number of categories, difficult to present in form that can be easily understood.