data types Flashcards

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1
Q

qualitative

A

expressed i words non-numerical it expresses feelings or opinions and is used in diary’s or newspapers, harder to analyse

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2
Q

quantitative

A

numerical data, it can be easily analysed , found in form of multiple choice

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3
Q

primary data

A

field research , fist hand data , collected by researcher from their participants , specifically collected for the specific research being done

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4
Q

secondary research

A

desk research ,collected by someone other than the researcher, the data already exists before the research takes place.

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5
Q

where to find primary data

A

interviews or observations

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6
Q

where to find secondary data

A

journals, records, websites

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7
Q

meta analysis

A

it is a type of secondary research where lots of exiting studies from the same area of study are reviewed this could be so that researchers can discuss the findings of several studies and calculate effect size

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8
Q

effect size

A

Overall statistical measure of relationship across variables in a meta-analysis. This is the DV in a meta-analysis.

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9
Q

quantitative pros and cons

A

easy to analyse
easy to show statistical analysis
less open to bias
less objective

narrower scope
less detail
may not represent real life

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10
Q

qualitative

A

rich in detail
answers can be developed and so have more information
greater to real life

difficult to analyse
hard to put into category’s
comparisons can not be made easily so makes it hard to see dv

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11
Q

primary data pros ands cons

A

first hand data so more reliable
it is authentic and targeted

takes time and effort
is expensive

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12
Q

secondary data pros and cons

A

easy and quick as the data already exists
inexpensive

not specific to research
could be out of date therefore non reliable
content may not match researchers needs

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13
Q

meta analysis pros and cons

A

simple to to analyse statistically so comparisons can be easily made
less open to bias less objective

publication bias , only using date that has been published and may miss out ion other valid data for their study.

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14
Q

quantitative types of data

A

nominal - weak least precise
ordinal - strong more precise
interval - strongest most precise

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15
Q

how can qualitative data be converted to be used for mathematical calculations

A

content analysis

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