✓ Types of Data (AO1 + AO3) Flashcards

1
Q

What are the 2 Categories of Data?

A

Quantitative OR Qualitative
+
Primary OR Secondary

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2
Q

What is Quantitative data?

A

data expressed in number form
e.g. test scores, IQ of ppts, no. of words recalled

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3
Q

Positives of Quantitative data?

A
  • simple to analyse
  • easy to interpret difference between groups
  • more objective & less prone to bias
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4
Q

Negatives of Quantitative data?

A
  • lack detail
  • may lack external validity as it may fail to represent ‘real life’
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5
Q

What is Qualitative data?

A

data expressed in word form
e.g. interview transcript, diary entry,
observation notes, responses to open q’s on a questionnaire

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6
Q

Positives of Qualitative data?

A
  • greater richness in detail than quantitative data
  • allows more insight into thoughts, feelings & behaviours
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7
Q

Negatives of Qualitative data?

A
  • difficult to analyse & identify patterns
  • may be prone to interpreter bias = subjective
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8
Q

What is Primary data?

A

data that has been collected by the researcher themselves for the purpose of the study & data is first-hand from ppts
e.g. experiments, interviews, questionnaires, observations

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9
Q

Positives of Primary data?

A
  • data is fit for purpose as designed to meet the aim of that research
  • the data collection technique can be designed to specifically target the info the researcher requires
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10
Q

Negatives of Primary data?

A
  • requires time & effort to design/collect
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11
Q

What is Secondary data?

A

data that has been collected by someone other than the researcher conducting the research
e.g. published papers, books, gov statistics

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12
Q

Positives of Secondary data?

A
  • cheap
  • easily accessible
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13
Q

Negatives of Secondary data?

A
  • data may be incomplete/outdated
  • content of data may not fit the researchers needs
  • original research may lack validity
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14
Q

What is Meta-Analysis?

A

refers to the process of combining results from a number of studies on a particular topic to provide an overall view
(e.g. Khonken on the cognitive interview)
- it uses secondary data & data from previous research

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15
Q

Positives of Meta-Analysis?

A
  • results can be generalised across larger populations
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16
Q

Negatives of Meta-Analysis?

A
  • may be prone to selection bias as the researcher may pick and choose which studies to include
  • publication bias (only studies with significant results are published)