Non experimental- Types of data

Question 1

What is qualitative data?

Answer 1

data that focuses on in depth anlysis of opinions or views

Question 2

what 3 methods lead to produce qualitative data?

Answer 2

open question interviews
case studies
some observations

Question 3

What is the strength and a limitation of qualitative data?

Answer 3

A- useful where deep understanding is required to get views or feelings
D- Often based on subjective accounts and open to distortion

Question 4

What is quantitative data?

Answer 4

Any findings that can be expressed in numerical form. It can be marked, ranked and counted

Question 5

What 2 methods lead to produce quantitative data?

Answer 5

Experiments
Closed questionnaires

Question 6

What is a strength and limitation of quantitative data?

Answer 6

A-They’re more objective (less open to interpretation)
D-They may provide statistics but they have little real meaning so we can potentially lose the human

Question 7

What is primary data?

Answer 7

data collected for the purpose of the investigation by the researcher. It arrives firsthand from the ppt themself

Question 8

What 3 methods produce primary data?

Answer 8

-Experiments
-Questionnaires
-Interviews

Question 9

What is a strength and a limitation of primary data?

Answer 9

A- It is fit for purpose as its targeted to get the exact information needed
D-Time time-consuming and expensive

Question 10

What is secondary data?

Answer 10

Data thats already been collected by another researcher. Its pre existing and used for a secondary purpose

Question 11

What methods produce secondary data?

Answer 11

-Research conducted by other psychologists
-Government records
-Info on websites

Question 12

What is a strength and limitation of secondary data?

Answer 12

A- Already statically tested so we already know the significance level
D- There may be variation in quality as you cannot quality control

Question 13

What is meta analysis?

Answer 13

The process of combining the data from a large number of studies that have already been carried out in a particular area of study to see if the results are consistent

Question 14

What sort of data can meta anaylsis include?

Answer 14

Its a type of secondary data
But it can include both quantitative and qualitative data

Question 15

What is a strength and limitation of using meta analysis?

Answer 15

A- It increases confidence in the findings and we can generalise them to a larger audience
D-Theyre prone to publisher bias and file drawer effect as the researcher may not select all relevant studies

Question 16

Whats publisher bias?

Whats the file drawer effect?

Answer 16

The publisher is more likely to publish exciting new research

Studies are likely to remain unpublished if there are no significant findings