Data Handling & Types Of Data

Question 1

What is qualitative data?

Answer 1

non numerical data

Question 2

Strengths of qualitative

Answer 2

• rich in detail
• external validity as p’s are able to develop their opinions
• more meaning

Question 3

Weaknesses of qualitative

Answer 3

-subjective (relies on researchers judgement) so researcher may hold bias to conclusions drawn
- difficult to analyse and compare

Question 4

What is quantitative data?

Answer 4

Numerical data

Question 5

Strengths of quantitative

Answer 5

• easy to analyse and compare
• more precise

Question 6

Weaknesses of quantitative

Answer 6

• lack of detail
• lacks meaning and context
• low external validity as p’s cant develop their opinions

Question 7

What is primary data?

Answer 7

Data that has been collected for a specific reason and reported by the original researcher

Question 8

Strengths of primary data

Answer 8

• more reliable and valid
• targets the exact info a researcher needs

Question 9

Weaknesses of primary data

Answer 9

• requires time, effort and expensive

Question 10

What is secondary data?

Answer 10

Info collected by other researchers but used by another researcher for their investigation (desk based research)

Question 11

Strengths of secondary

Answer 11

• drawn from several resources and can give a clearer insight into a research area

Question 12

Weaknesses of secondary

Answer 12

• data may be outdated/incomplete
• data may be unreliable , researcher not there when study was conducted so unsure of validity of the results

Question 13

What is meta analysis?

Answer 13

• process of combining findings from multiple studies on a specific topic to make an overall analysis of trends/patterns

Question 14

Strengths of meta analysis

Answer 14

• larger sample, able to generalise, greater validity of patterns identified

Question 15

Weaknesses of meta analysis

Answer 15

• issues of bias, researcher selecting data from previous research (may choose to neglect certain findings)