Correlational Investigations Flashcards

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1
Q

What is the difference between the purpose of correlations and experiments?

A

Experiments look for a difference between two conditions. A correlation is a way of measuring the relationship between two variables to see if a trend or pattern exists between them.

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2
Q

What is the difference between terminology used for correlations and experiments?

A

Correlations assess the relationship between variables, but there is no independent variables involved as nothing is manipulated.

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3
Q

What are the strengths of correlational analysis?

A

• can be used where it would be unethical or impractical to manipulate variables.
• often used as ‘preliminary research’ to identify possible causal factors.

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4
Q

What are the weaknesses of correlational analysis?

A

• can’t establish clear cause and effect due to lack of control over extraneous variables.
• can only be used if data sets from both variables are over a range of numbers and not in categories.

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5
Q

What are the similarities between hypotheses for experiments and correlations?

A

They both have a null hypothesis and an alternative hypothesis (directional or non-directional).

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6
Q

What are the differences between the hypotheses for experiments and correlations?

A

Correlation hypotheses don’t have ‘difference’ or ‘IVs and DVs’. Instead there are two co-variables and we are looking for the relationship/correlation between them.

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7
Q

Give an example of a null hypothesis.

A

There will be no relationship between … and …

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8
Q

Give an example of an alternative hypothesis

A

There will be a (positive/negative) relationship between … and …

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9
Q

How do you visually represent correlation?

A

Using a scatter graph.

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10
Q

How do you plot correlation on a scatter graph?

A

Dots are plotted on the scatter graph to represent each pair of scores - you are plotting the two variables against each other, you are not plotting participant numbers.

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11
Q

What is a positive correlation?

A

As one variable increases, so does the other.

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12
Q

What is a negative correlation?

A

As one variable increases, the other decreases.

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13
Q

What does it mean when there is no correlation?

A

There is no relationship between the two variables.

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