Types of data

Question 1

Which data is numerical and can be measured and quantified?

Answer 1

Quantitative data

Question 2

Which data is non-numerical and provides descriptive data in depth?

Answer 2

Qualitative data

Question 3

Primary data

Answer 3

Original data which is collected directly be a researcher for a specific research purpose

Question 4

Secondary data

Answer 4

Pre-existing data which is collected for different reasons. It can then be repurposed for the researcher’s study

Question 5

Quantitative data evaluation

Answer 5

strengths
- Simple to analyse
- Easy to use for graphs
- More objective
weaknesses
- Lacks detail, therefore not always useful

Question 6

Qualitative data evaluation

Answer 6

strengths
- Richer detail which allows a fuller expansion
- More meaningful insight
weaknesses
- Time consuming
- Subjective - open to interpretation

Question 7

Primary data evaluation

Answer 7

Strengths
- Authentic demographic data that fits research purposes
weaknesses
- Time consuming to conduct research and gather data

Question 8

Secondary data evaluation

Answer 8

Strengths
- Inexpensive and easily accessed in a timely manner
weaknesses
- Previous data might not be reliable
could be a variation in quality

Question 9

Meta analysis

Answer 9

A method that uses secondary data. It uses many studies of the same topic/hypothesis. Then puts these together to come to an overall conclusion

Question 10

Meta analysis evaluation

Answer 10

strengths
- Provides a more precise estimate of the effect size
weaknesses
- Might be prone to publication bias