Types Of Data eval

Question 1

What is a key advantage of quantitative data?

Answer 1

Can be analysed statistically

easily converted into graphs/charts

Question 2

What are the strengths of qualitative data?

Answer 2

• Richness of detail
• Broader in scope
• Gives participants chance to fully report thoughts, feelings and opinions

• Greater external validity
• More meaningful insight into participants world

Question 3

What are limitations of qualitative data?

Answer 3

• Difficult to analyse
• Cannot be summarised statistically
• Patterns and comparisons within and between data is hard to identify

• Conclusions rely on subjective interpretation of researcher

Question 4

What are strengths of quantitative data?

Answer 4

• Simple to analyse
• Comparisons can easily be drawn
• Numerical data more objective
• Less open to bias

Question 5

What are limitations of quantitative data?

Answer 5

• Narrower in meaning
• Less detailed than qualitative data
• May fail to represent real life

Question 6

What are strengths of primary data?

Answer 6

• Authentic data gathered from participants themselves

• Questionnaires and interviews can be designed to specifically target info that the researcher wants

Question 7

List strengths of secondary data.

Answer 7

• Inexpensive
• Easily accessed
• Requires minimal effort
• May find desired info already exists

Question 8

What are limitations of secondary data?

Answer 8

• Variety in quality and accuracy
• May be incomplete and/or outdated
• Content might not quite match researcher needs
• Can challenge conclusions validity

Question 9

List strengths of meta-analysis.

Answer 9

• Allows a larger, more varied sample
• Results can be generalised across populations
• Increases validity

Question 10

What is a limitations of meta-analysis?

Answer 10

Prone to publication bias. Researcher may not select all relevant studies, leaving out studies with negative or non significant results

Conclusions may be biased