Types Of Data

Question 1

Quantitative data evaluation

Answer 1

Evaluation A strength of quantitative data is it can be easy to analyse. Data can be converted to averages and then graphs and charts. This means that groups of people can easily be compared.
A weakness is it lacks depth and detail. This is because we obtain little information about thoughts or abilities. Therefore it doesn’t reflect how complex things are in the real-world.

Question 2

Evaluation of qualitative data

Answer 2

strength of qualitative data is it is in more depth and detail than quantitative data. The researcher can gain more insight as the participant is free to express their thoughts and feelings. This increases the validity of the data.
A weakness is it is more difficult to analyse. It may be hard to summarise material and draw conclusions. This means conclusions may be based on the researcher’s opinion.
Difficulties to compare cus not in graph

Question 3

Evaluation of primary data

Answer 3

A strength of primary data is that it suits the aims of the research. It is authentic because it comes first hand from the participants themselves. This means the data may be more useful.
A weakness is that it takes more time and effort to collect primary data. The researcher must design and carry out a study rather than using readily available secondary data. This slows the process down and increases expense.

Question 4

Evaluation of secondary

Answer 4

A strength is it is easy and convenient to use. This is because it has already been checked and collected, unlike primary data. This reduces expense.
A weakness is that secondary data may not quite fit what the researcher wants. For example, the data may come from out-of-date or poorly designed studies. This may reduce the validity of the research.