Correlational Design Flashcards

(13 cards)

1
Q

What does a correlation coefficient value of 1 indicate?

A

A perfect positive correlation

This means the two sets of data are strongly linked together.

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2
Q

What does a correlation coefficient value of 0 indicate?

A

No correlation

The values don’t seem linked at all.

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3
Q

What does a correlation coefficient value of -1 indicate?

A

A perfect negative correlation

This means that as one value increases, the other decreases.

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4
Q

What is a positive correlation?

A

When one value increases, the other also increases

Example: As you age, beauty increases.

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5
Q

What is a negative correlation?

A

When one value decreases, the other increases

Example: As you age, beauty decreases.

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6
Q

What does zero correlation mean?

A

No linear relationship

Example: There is no relationship between age and beauty.

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7
Q

What is the main difference between a correlational design and an experiment?

A

Correlation shows relationships, while an experiment establishes causation

Correlation does not indicate causation.

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8
Q

What type of correlation is suggested by the hypothesis: ‘students who spend more time revising will get better marks’?

A

Positive correlation

This implies that increased revision time is associated with higher marks.

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9
Q

What is a scattergram?

A

A graphical representation of the relationship between two variables

It helps visualize the strength and direction of a correlation.

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10
Q

What does it mean if the correlation is weak?

A

The values are closer to 0

This indicates a weaker relationship between the two variables.

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11
Q

What is meta-analysis?

A

A research method that combines results from multiple studies on a given topic

It helps evaluate the overall evidence and findings.

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12
Q

What are the strengths of correlation studies?

A
  • Time and cost effective
  • Useful to see whether further research should be carried out
  • Can study things that are unable to manipulate

Correlation studies provide a preliminary understanding of relationships between variables.

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13
Q

What are the weaknesses of correlation studies?

A
  • Cannot show causation
  • Only works with linear relationships
  • May be affected by a third factor

These limitations highlight the need for caution in interpreting correlation results.

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