RM: Correlations Flashcards

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1
Q

What is a correlational study?

A

-studies which investigate the relationship/association between two variables (co-variables)

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2
Q

How do correlational studies differ from the experimental method?

A

-in experiments, the researcher manipulates the IV so measure effect on DV (causality)
-in correlational, there is no manipulation of variables so causality cannot be established

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3
Q

How do you write hypotheses for correlational research?

A

-states whether there is going to be a relationship between x and y

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4
Q

What are the types of correlational research hypotheses?

A

-null= no correlation
-directional= states if positive/negative
-non-directional= there will be a relationship/association

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5
Q

How is data collected for the co-variables?

A

-secondary data-> from another source
-observational data-> from experiment
-questionnaires-> from questionnaires/interviews
-Brain scanning technologies-> to see activation of specific areas of the brain

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6
Q

What graph is used to plot the data?

A

-a scatter diagram
-the dots indicate the degree of correlation between the two variables (correlation co-efficient)

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7
Q

What is a positive correlation?

A

-if one variable increases, the other also increases
-1= perfect, 0.8= strong, 0.3= weak

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8
Q

What is a negative correlation?

A

-as one variable increases, the other decreases
- -1= perfect negative, -0.8= strong, -0.3= weak

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9
Q

What is a zero/null correlation?

A

-there is no relationship between the variables

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10
Q

What is a curvilinear relationship?

A

-as one variable increases, so does the other, but only up to a certain point, after which one keeps increasing, the other decreases

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11
Q

Strengths of correlational studies?

A

-used when it would be impractical/unethical to manipulate variables
-can make use of existing data
-can be a quick/easy way to carry out research.
high in ecological validity- manipulation of behaviour needed
-useful as a preliminary research technique- links can be identified

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12
Q

Limitations of correlational studies?

A

-no cause and effect relationship identified
-could be a third intervening variable
-correlations are open to interpretation
-correlation is not causation

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