types of data

Question 1

qualitative data?

Answer 1

deals with descriptions, data that’s observed not measured. concerned with attitudes, beliefs and emotions

Question 2

quantitative data?

Answer 2

deals with numbers, data can be measured, looks at averages and differences between groups

Question 3

strengths and weakness of quantitative ?

Answer 3

strength = easy to analyse and draw conclusions from
weakness = could lead to data being oversimplified, closed questions could lead to people selecting an answer that is not how they fully represent their feelings, voiding the research as meaningless.

Question 4

strengths and weakness of qualitative data?

Answer 4

strength = provides detailed information which can provide unexpected insights into thoughts, feelings and behaviours not restricted by closed questions.
weakness = extremely difficult to analyse and draw conclusions from

Question 5

primary data ?

Answer 5

data collected or observed by the researcher themselves. you design the study yourself and this can range from many methodologies such as interviews and observations.

Question 6

secondary data ?

Answer 6

data collected for a purpose other than the current one. research collected second hand by somebody else.

Question 7

strengths and weakness of primary data ?

Answer 7

strengths = researcher has control, can design to fit aim and hypothesis of the study.
weakness = time consuming to design, select participants, conduct study and analysing data which leads to expensive research

Question 8

strength and weakness of data?

Answer 8

strength = simpler to access someone else’s research, therefore cheaper and less time consuming
weakness = may not be able to find research that is needed