strenghts and weakness on data

Question 1

strength of qualitative data

Answer 1

• more detail and more insight into participants world

- greater external validity

Question 2

weakness of qualitative data

Answer 2

• difficult to analyse as it’s not summarised statistically

- may rely on subjective interpretations of researcher, so BIAS

Question 3

strength of quantitative data

Answer 3

• simple to analyse

- less open to bias and more objective

Question 4

weakness of quantitative data

Answer 4

-narrower in scope, may fail to represent real life

Question 5

Strength of primary data

Answer 5

-it fits the job, so it’s authentic data from the participants themselves, so they target the info the researcher is looking for

Question 6

weaknesses of primary data

Answer 6

-required time and effort from researcher which can take long whereas secondary can be accessed in minutes

Question 7

strength of secondary data

Answer 7

Data is not expensive and can be accessed easily with minimal effort

Question 8

weaknesses of secondary data

Answer 8

• may be a substantial variation in the quality and accuracy
• may be outdated or incomplete
• may not match researcher’s objectives

Question 9

strength of meta analysis

Answer 9

allows the data to be viewed by the researcher with much more confidence and the results can be generalised across much larger populations

Question 10

weaknesses of meta analysis

Answer 10

prone to publication bias which is often referred as a file drawer problem
-May choose to leave out studies with negative or non-significant results