Psychology - Research Methods - Types of Data Flashcards

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1
Q

Nominal (discrete) data

A

Data are in separate categories. A person can only be placed in one category and not another

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2
Q

What’s an example of nominal data?

A

Grouping people according to favourite television show or eye colour

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3
Q

ordinal data (continuous)

A

Data ordered or placed in a rank

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4
Q

What’s an example of ordinal data?

A

Make a list of music genres in order of liking or who scored the highest to lowest in IQ test

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5
Q

Interval data (continuous)

A

Data measured in units of equal intervals

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6
Q

What is an example of interval data

A

Miles or centimetre. Or how stressed are you on a scale of 1-10

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7
Q

Quantitative data

A

Data that is measured in numbers of quantities, includes closed questions or tallies

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8
Q

What are the advantages of quantitative data?

A
  • Easier to analyse that qualitative so comparisons, trends and patterns are easily drawn - Data is more objective and less open to bias than qualitative data
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9
Q

What are the disadvantages of quantitative data?

A
  • Lacks validity and means we might not be measuring the key variables identified in the aim - Lacks meaning and consists of numbers or yes and no answers so doesn’t give context
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10
Q

Qualitative data

A

Descriptive data that cannot be counted or quantified, it includes open questions in questionnaires and describing what was seen in an observation

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11
Q

What are the advantages of qualitative data?

A

Can gain lots of detailed data, High in validity and measures concepts and ideas stated in the aim

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12
Q

What are the disadvantages of qualitative data?

A

Data is unreliable so if it was to be repeated it would be unlikely that the same results would be gained. May be subjective when you analyse the detail and it may be difficult to generalise and make conclusions

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13
Q

Primary data

A

Information observed or collected directly from first-hand experience.

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14
Q

secondary data

A

information that already exists somewhere, having been collected for another purpose

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15
Q

meta-analysis

A

a procedure for statistically combining the results of many different research studies

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16
Q

publication bias

A

the tendency for journals to publish positive findings but not negative or ambiguous ones