types of data Flashcards

1
Q

what is qualitative data

A

worded data
eg. transcript from interview

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2
Q

3 strengths of qualitative data

A

-richness of detail
-high external validity- meaningful insight into p’s worldview
-allows p’s to further develop their opinions

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3
Q

2 limitations of qualitative data

A

-hard to analyse- patterns and comparisons in data hard to identify
-conclusions are subjective- bias from researcher

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4
Q

what is quantitative data

A

numerical data which is open to statistical analysis

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5
Q

strength of quantitative data

A

statistical analysis makes it easy to compare with other data

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6
Q

3 limitations of quantitative data

A

-low exernal validity- p’s cant develop answers
-no meaningful insight into p’s views
-lack of detail depth

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7
Q

what is primary data (2)

A

-collected specifically for the research
-original, first hand data collected by researcher
eg. from interview/observation

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8
Q

strength of primary data

A

data fits the aims as its from the p’s- study specifically targets the desired info

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9
Q

2 limitations of primary data

A

-requires lots of time and effort
-studies need lots of planning, preparation, resources

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10
Q

what is secondary data (2)

A

-data collected by someone else
-has usually been subject to statistical testing

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11
Q

2 strengths of secondary data

A

-easy to access+ cheap
-desired info already exists so primary data isnt needed

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12
Q

2 limitations of secondary data

A

-substantial variation int he quality and accuracy of data
-info may be outdated/incomplete- challenges validity of conclusions

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13
Q

what is meta analysis (2)

A

-multiple studies investigating the same aim/hypothesis
-results of all studies are pooled together and a join conclusion is produced

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14
Q

meta analysis in experimental research (3)

A

-IV has been measured the same way
-so can do statistical analysis and calculate an effect size (DV of meta analysis)
-gives overall stastistical measure of difference between variables across multiple studies

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15
Q

2 strengths of meta analysis

A

allows us to create larger, more varied sample
-high external validity- results can be generalised to larger populations

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16
Q

limitation of meta analysis

A

-publication bias- (file drawer effect) so conclusions will only represent some relevant data