Data

Question 1

What is primary data?

Answer 1

Original data that you have collected yourself, through direct contact with the participants. Data is suitable for the aim of your study.

Question 2

A strength of primary data:

Answer 2

+ More relevant to researcher aims as they collect info directly for their experiment and do not have to go through other irrelevant data that secondary data may present

Question 3

A weakness of primary data:

Answer 3

• Takes time to collect whereas secondary data can be collected within a short time

Question 4

What is secondary data?

Answer 4

Data obtained from another source, without direct contact with participants. For example, other studies/journals. May not always be tailored to your study.

Question 5

A strength of secondary data:

Answer 5

+ Data can be collected within a short time whereas primary data takes time to collect

Question 6

A weakness of secondary data:

Answer 6

• Less relevant to researcher aims as there may be lots of irrelevant data in secondary data that does not meet researcher aims.

Question 7

What is a meta-analysis?

Answer 7

• The process of drawing broader conclusions by combining the findings of multiple studies through statistical analysis
• Overall conclusion based on the findings of each individual study from the sample
• Helps improve external validity

Question 8

Two strengths of meta-analysis:

Answer 8

+ Helps rule out the impact of anomalous conclusions - one off studies that contradict the general outlook of the field
+ Gives you a general understanding of what all the studies from the field are saying, helps inform us of the consensus

Question 9

A weakness of meta-analysis:

Answer 9

• Still secondary data- method of the studies from the sample could be faulty - this could affect conclusions drawn. For example, use of strange situation in Van Ijzendoorn

Question 10

What is qualititive data?

Answer 10

Non-numerical data that expresses the ‘quality’ of things - descriptions, words, meanings, pictures and texts

Question 11

A strength of qualititive data:

Answer 11

+ Has lots of depth and detail

Question 12

A weakness of qualititive data:

Answer 12

• Difficult to analyse

Question 13

What is quantitive data?

Answer 13

Data that is numerical, for example, data that represents how much, duration or how many

Question 14

Strength of quantitive data:

Answer 14

+ Easy to analyse and compare

Question 15

Weakness of quantitive data:

Answer 15

• Lacks depth and detail