Correlations Flashcards

1
Q

What is a correlation

A
  • Determining the extent of an association between two co-variables
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2
Q

What are the 2 variables called that we compare in a correlation

A

Co-variables

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3
Q

What are the words that we CANNOT use when talking about correlations

A
  • linked
  • difference
  • cause
  • effect
  • association
  • DV / IV
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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 positive correlation

A
  • As one variable increases, the other also increases
  • likewise for if one decreases
    —> results on a graph should resssemble a tick
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6
Q

What is a negative correlation

A
  • as one variable increases, the other decreases
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7
Q

What is no correlation

A
  • The variables aren’t linked
  • there is no visible pattern in data
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8
Q

How do you write a Null hypothesis about a correlation

A

There will be no significant relationship/correlation between ______ and ______

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9
Q

How do you write a directional alternative hypothesis about a correlation

A

There will be a significant positive/negative relationship/correlation between ______ and ______

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10
Q

How do you write a non-directional alternative hypothesis about a correlation

A

There will be a significant relationship/correlation between ______ and ______

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11
Q

What type of diagram is a correlation always displayed on

A

Scatter diagram

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12
Q

You get 4 marks in an exam for drawing a scatter diagram. What are those 4 marks for?

A
  • Title: ‘A scatter diagram to show the relationship between ______ and ______’
  • results being plotted correctly
  • title (including units) on both x and y axis (e.g. reaction time (seconds))
  • an appropriate scale bar
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13
Q

When asked ‘Outline 2 findings from the scatter diagram (2)’ what are the 2 possible findings that you can comment on

A
  • type of relationship (Positive/negative/no relationship)
  • strength of relationship (strong/weak/perfect)
  • identifying outliers — results that deviates from the trend (NOTE: you get no marks for calling it an anomaly)
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14
Q

Draw what the different scatter diagrams look like (Perfect negative correlation —> perfect positive correlation)

A
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15
Q

What are the strengths of correlations

A
  • Correlations allow researchers to investigate naturally occurring variables that may be unethical or impractical to test experimentally
  • allows researchers to clearly see if there is a relationship between variables
  • allows researchers to work out if further investigations is necessary, so could be used as a pilot study to avoid a costly experiment. If there is only a weak relationship found then perhaps an experiment isn’t worth it
  • Easy to replicate (assuming the data collection methods are standardised)
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16
Q

What is the weakness to correlations

A
  • correlation cannot be taken to mean causation even if there is a strong association between 2 variables we can’t say one causes the other. There may be other intervening variables that explains the link between the co-variables
  • people jump to causal conclusions and research can be misinterpreted so improvement programmes or treatments or policy changes may be incorrectly implemented
  • the methods used to collect the data may lack internal/external validity
17
Q

When asked an exam Q on outlining 1 weakness of a correlation method in a particular study, how should you answer it?

A

PEE
- Point: e.g. correlation doesn’t = causation because they weren’t manipulated and there could be intervening variables
- Example: make it relevant to the Q. E.g. there are many intervening variables between ______ and ______, such as ______
- Elaborate: This is a weakness because…..

18
Q

What is a spearman’s Rho

A
  • an inferential statistical test
  • it is the only test that can analyse if there is a relationship (note: all other tests find a difference, not relationship)
  • it is used for a researcher to state whether the findings are significant or not
  • produces an observed value that falls between -1 and +1
19
Q

What is an observed value

A
  • sometimes referred to as the ‘correlation coefficient’ or ‘r’ or ‘rho’
  • it comes from a Spearman’s Rho statistical test calculation
  • it falls between -1 and +1
20
Q

What is a critical value

A
  • the value the observed value is compared to
  • it is produced by a critical value table
  • to be significant, the observed values has to be greater than or = to the critical value.
    —> NOTE: it’s not always given to you in an exam. Although you don’t have to calculate it, you will have to find it
21
Q

If the relation ship is significant, which hypothesis do we accept/reject

A
  • accept an alternative
  • reject a null
22
Q

“A psychologist found that, after analysing the data with a Spearman’s Rho test, the observed value was 0.56. The critical value is 0.40.”

State whether the psychologist should accept or reject the null hypothesis + why

A
  • The psychologist should reject the null hypothesis
  • because the observed value of 0.56 is GREATER THAN the critical value of 0.40 the results ARE SIGNIFICANT
    —> NOTE: if you copy these wordings, you will get full marks
23
Q

“A psychologist found that, after analysing the data with a Spearman’s Rho test, the observed value was -0.78. The critical value is 0.31.”

State whether the psychologist should accept or reject the null hypothesis + why

A
  • The psychologist should reject the null hypothesis
  • because the observed value of -0.78 is GREATER THAN the critical value of 0.31 the results ARE SIGNIFICANT
    —> NOTE: just ignore the “-“ sign.