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research methods
types of data
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scarlett clarke
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Cards (17)
What are the two main types of data?
Qualitative
and
quantitative
data
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What does qualitative data represent?
Data expressed in words and
non-numerical
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What is quantitative data?
Data that can be
counted
, usually
numbers
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What is primary data?
Information obtained first-hand by a
researcher
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How is primary data often gathered in psychology?
Through
experiments
,
self-reports
, or
observations
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What is secondary data?
Information collected by someone else
previously
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What is meta-analysis?
Combining findings from multiple
studies
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What is the difference between meta-analysis and a review?
Meta-analysis produces an overall
statistical
conclusion
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What are the characteristics of qualitative data collection methods?
Expressed in words, not
numbers
Includes
interviews
, observations, and
descriptions
Captures thoughts, feelings, and opinions
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What are the characteristics of quantitative data collection methods?
Expressed
numerically
Gathers individual scores from participants
Suitable for
statistical
analysis and graphing
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How do qualitative and quantitative data overlap in research?
Both can provide insights into
participants' experiences
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What is the main strength of primary data?
It is authentic data from
participants
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What is a benefit of secondary data?
It is often
inexpensive
and readily available
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What is a limitation of collecting primary data?
It requires
significant
time and effort
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What is a potential drawback of secondary data?
Quality may vary and affect
validity
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What types of data would the following examples produce?
Students rate their enjoyment of research methods on a scale of 1-10
An individual describes his experience of schizophrenia
A researcher asks passers-by their views on living in the town centre
Quantitative data
Qualitative data
Qualitative data
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What are the strengths and weaknesses of primary and secondary data?
Strengths of
primary data
:
Authentic and specific to
research needs
Weaknesses of primary data:
Time-consuming and resource-intensive
Strengths of secondary data:
Inexpensive
and readily available
Weaknesses of secondary data:
Quality may vary, affecting
validity
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