Correlations Flashcards

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1
Q

what is a correlation?

A
  • the measurement of the extent to which pairs of values on two variables tend to change together
  • on statistical terms
  • can be positive or negative
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2
Q

what are co-variables?

A
  • indicate two or more quantities being measured in a correlation by the researcher that may or may not vary with each other.
  • they can be measured directly from the researcher or gathered from secondary sources
  • do not have an IV or DV
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3
Q

What type of graphs can correlations be plotted on?

A

Scattergrams

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4
Q

What are the 3 types of correlation?

A
  • positive correlation
    -negative correlation
  • no correlation
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5
Q

what is a co-efficient?

A
  • States the strengths and type of agreement between the two variables
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6
Q

what does a co-effient of +1 show?

A

a perfect positive correlation

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7
Q

what does a co-efficient of -1 show?

A

a perfect negative correlation

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8
Q

what is a correlation co-effient?

A

A mathematical representation of to what degree the two results are related or link

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9
Q

what does a curvilinear correlation mean?

A

Two co-variables are increasing and then start to decrease
- still a predictable relationship

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10
Q

Strengths of correlations

A
  • reliable
  • objective data analysis
  • lead to new research
  • control for ppts variables
  • investigate unethical situations
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11
Q

how are correlations reliable?

A

uses sets of questionaires

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12
Q

how does correlations use objective data analysis?

A

once data is correlated, to see a relationship you could use a stats test or plot a scatter graph

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13
Q

how do correlations control for ppt variables?

A

Collecting both sets of data from the same ppts

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14
Q

weaknesses of correlations

A
  • cannot infer cause and effect
  • 3rd variable could have caused the increase in the co-variable
  • problems with secondary data
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15
Q

why can you not infer cause and effect?

A
  • you cannot randomly allocate to certain conditions
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16
Q

why is there problems with secondary data?

A
  • using already exisiting behaviours
  • not primary data
  • conclusions might not be valid