Types Of Data Flashcards
1
Q
What is quantitative data
A
Data that can be numerically analysed and quantified into hard facts.
2
Q
Quantitative data strengths
A
- Quick and easy to collect.
- Less susceptible to bias.
- Can be analysed for patterns and trends.
3
Q
Quantitative data limitations
A
- Lacks depth and context.
- Can oversimplify emotion and experience by limited participant response.
4
Q
What is qualitative data
A
Non numerical data that describes qualities, opinions or feelings.
5
Q
Qualitative data strengths
A
- More detailed which allows the researcher to find the subtle issues.
- Allows participants to give the response they want.
6
Q
Qualitative data limitations
A
- Takes time and experience to collect, interpret and analyse data.
- Can be susceptible to bias.
7
Q
What is primary data
A
Original data collected. Specifically by the research first hand from participants.
8
Q
Primary data strengths
A
- Specifically related to the hypothesis tested.
- Confidence in quality.
- Up to date.
- Greater insight.
9
Q
Primary data limitations
A
- Time and effort
-Expensive
10
Q
What is secondary data
A
Indirectly gathered from other sources.
11
Q
Secondary data strengths
A
- Easily accessible.
- Cheap to use.
12
Q
Secondary data limitations
A
- Variation in quality and accuracy.
- Outdated.
- Data is not specific to the hypothesis being tested.
- May lack insight.
13
Q
What is meta analysis
A
Data gathered from a large number of studies is analysed and collected to draw an overall conclusion.
14
Q
Meta analysis strengths
A
- Increased validity as based on a wide range of data.
- Generalisability of results.
15
Q
Meta analysis limitations
A
- Research designs vary so are not truly comparable.
- Bias
