Data Flashcards

1
Q

define raw data

A

the data you receive from your participants

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2
Q

what must you do before estimating?

A

round to one significant figure

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3
Q

describe what primary data is

A

data collected by the researcher himself directly from participants

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4
Q

give an example of primary data

A

-experiments, surveys, direct observations

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5
Q

describe secondary data

A

when researcher uses data that has been collected by someone else, reanalysing data another psychologists data

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6
Q

give an example of secondary data

A

-school examination results

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7
Q

describe quantitative data

A

methods that focus on numbers and frequencies rather than on meaning and experience

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8
Q

describe qualitative data

A

methods that concerned with describing mean rather than just with drawing statistical inferences

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9
Q

give an example of quantitative methods

A

-experiments, questionnaires, and psychometric tests

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10
Q

give an example of qualitative methods

A

-case studies and interviews

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11
Q

give the strengths of quantitative data

A
  • allows the use of inferential statistical tests on data

- objective and does not require interpretation so higher in reliability than qualitative data

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12
Q

give the strengths of qualitative data

A
  • provides depth and detail since it looks deeper than analysing feelings and behaviour so increases validity
  • allows a detailed picture to be built up about why people act
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13
Q

give the weaknesses of quantitative data

A
  • not enough depth as to why it occurred

- personal accounts so may be biased, researcher effects and social desirability

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14
Q

give the weaknesses of qualitative data

A
  • more time consuming
  • generally smaller sample size
  • people may interpret things differently so lowers the reliability and the data is subjective
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15
Q

What is nominal data?

A

data as totals of named categories

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16
Q

what is ordinal data?

A

data as points along a scale, such as rating or likert scale

17
Q

what is interval data?

A

scientific measure performance or result

18
Q

What are the advantages of using nominal data?

A
  • quick to find mod to access central tendency
  • easy to understand
  • large amounts of data collected quickly increasing reliability
19
Q

What are the disadvantages of using nominal data?

A
  • simple and undescriptive
  • only mode can be used
  • without linear scale, participants unable to express a degree of response
20
Q

What are the advantages of using ordinal data?

A
  • easy to generate likert and rating scales
  • median and mode used
  • more information than nominal
21
Q

What are the disadvantages of using ordinal data?

A
  • participants may interpret the scale differently
  • subjective
  • mean cant be used as the gaps aren’t equal
22
Q

What are the advantages of using interval data?

A
  • easy to generate closed questions
  • all points of equal value
  • scientific measurment are highly reliable and have no baseline
23
Q

What are the disadvantages of using interval data?

A

-no baseline