types of data

Question 1

describe qualitative data

Answer 1

displayed in words, non-numerical

Question 2

give strengths of qualitative data

Answer 2

• depth of detail
• allows ppts to devlop so higher external validity
• more meaningful insight

Question 3

give limitations of quantitative data

Answer 3

• difficult to analyse
• hard to make comparisons with other data
• researcher bias as conclusions rely on subjective inetrpretaion of researcher

Question 3

describe quantitative data

Answer 3

displayed numerically

Question 4

give limitations of quantitative data

Answer 4

• can be analysed statistically or in graphs
• easy to compare

Question 5

describe primary data

Answer 5

obtained by researcher

Question 6

give strengths of primary data

Answer 6

• targets exact info reseracher needs so data fits aims and objectives

Question 7

give limitations of primary data

Answer 7

• requires time and effort
• expensive

Question 8

describe secondary data

Answer 8

collected by someone other than researcher

Question 9

give strengths of secondary data

Answer 9

• economical
• minimal effort

Question 10

give limitations of secondary data

Answer 10

• likely that the data is outdated or incomplete
• data may not be relaible

Question 11

describe a meta-analysis

Answer 11

when a researcher combines results from many different studies

Question 12

give strengths of a meta-analysis

Answer 12

• more generalisability as a larger amount of data is studied

Question 13

give limitations of a meta-analysis

Answer 13

• file drawer problem where the researcher intentionally doesn’t publish all the negative results

Question 14

give limitations of quantitative data

Answer 14

• lacks detail
• no meaninful insight into ppts views
• low external validty as ppts cant develop answers