11001842
Description
Quiz by Sophie Walker, updated more than 1 year ago
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Created by Sophie Walker
over 6 years ago
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Question 1
Question
What is Quantitative Data?
Answer
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Information in numerical form e.g score on a psychology test out of 20.
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Information in non-numerical form e.g. written words describing an event or opinion
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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
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Quantitative
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analysed
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valid conclusions
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objective
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measurement
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valid
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suggest
Question 3
Question
What is Qualitative data?
Answer
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Information in non-numerical form
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Information in numerical form
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A way of representing very small or very large numbers.
Question 4
Question
What are the strengths of using Quantitative Data?
Answer
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In depth data, and high detail as participants can express themselves exactly as they want to and so gives a more valid insight.
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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.
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Can be biased.
Question 5
Question
What are the weaknesses of Qualitative data?
Answer
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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.
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Data are individual and so it may be difficult to make generalisations from the findings and compare between the groups.
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Method of measurement may limit participants' responses which will lack detail, therefore making the data less valid.
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