Types Of Data

Question 1

Quantitive data

Answer 1

Data that involves number and frequencies which can be measured or counted

Question 2

Qualitative

Answer 2

Data that describes meaning and experiences which is expressed in words

Question 3

Evaluation of quantitive data

Answer 3

Strengths
- objectively measured = reduces bias = increase scientific credibility
- more reliable = high chance settings me results if study repeated
- easily compared and analysed and presented

Weakness
- lacks depths an detail

Question 4

Evolution of qualitative data

Answer 4

Strengths
- details and in-depth

Weaknesses
- bias - subjective data
- lacks reliability

Question 5

Primary data

Answer 5

• gathered directly from ptps by the researcher using one or more research methods

Question 6

Secondary methods

Answer 6

Data that has bee collected by someone other than the researcher

Question 7

Evaluation of primary data

Answer 7

Strengths
- increased validity = collected specifically

Weaknesses
- time consuming and costly

Question 8

Evaluation of secondary data

Answer 8

Strengths
- saves time = data already exists and is often already analysed

Weaknesses
- decreased validity

Question 9

Meta analysis

Answer 9

Review of the findings of several studies of a certain research area

Question 10

Evaluation of meta analysis

Answer 10

Srengths
- large sample size = able to see trends and relationships that you cannot see in 1 study
- looks overall pattern = more vaild

Weaknesses
- comparing lots of studies = different methods and designs = not comparable