Information in numerical form e.g score on a psychology test out of 20.
Information in non-numerical form e.g. written words describing an event or opinion
Data originally obtained by other people
Question 2
Question
A strength of using [blank_start]Quantitative[blank_end] data is the data can be easily [blank_start]analysed[blank_end] and compared between groups/participants and so allows the researcher to form [blank_start]valid conclusions[blank_end]. Another strength is that data collection tends to be highly valid and often uses [blank_start]objective[blank_end] measures and so cannot be misinterpreted.
A weakness of Quantitative data is that the method of [blank_start]measurement[blank_end] may limit participants' responses which will lack detail, therefore making the data less [blank_start]valid[blank_end]. This in turn makes it less useful as we cannot [blank_start]suggest[blank_end] why something has happened.
Answer
Quantitative
analysed
valid conclusions
objective
measurement
valid
suggest
Question 3
Question
What is Qualitative data?
Answer
Information in non-numerical form
Information in numerical form
A way of representing very small or very large numbers.
Question 4
Question
What are the strengths of using Quantitative Data?
Answer
In depth data, and high detail as participants can express themselves exactly as they want to and so gives a more valid insight.
It is less likely that key or rare observations will be "lost" through the process of simplifying the data and so makes it more valid.
Can be biased.
Question 5
Question
What are the weaknesses of Qualitative data?
Answer
Subjective measures mean that data collection may be invalid as recording or interpretation of responses may be biased by the researcher's opinions or feelings.
Data are individual and so it may be difficult to make generalisations from the findings and compare between the groups.
Method of measurement may limit participants' responses which will lack detail, therefore making the data less valid.