Correlation Flashcards

1
Q

What is correlation?

A

Measures and descriptions of the relationship between two variables.

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2
Q

What are the three main characteristics of relationships in correlation?

A
  • Direction (negative or positive)
  • Form (linear is most common)
  • Strength (varies from 0 to 1)
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3
Q

What does a positive correlation indicate?

A

As one variable increases, the other variable also increases.

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4
Q

What does a negative correlation indicate?

A

As one variable increases, the other variable decreases.

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5
Q

What is the Pearson correlation coefficient (r)?

A

Measures the degree and direction of the linear relationship between two variables.

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6
Q
A
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7
Q

What correlation value indicates a perfect linear relationship?

A

-1.00 or +1.00.

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8
Q

What does the sum of products (SP) measure?

A

The amount of coverability between two variables.

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9
Q

How can the Pearson correlation formula be expressed?

A

As a relationship of z-scores.

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10
Q

True or False: Correlation demonstrates causation.

A

False.

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11
Q

What is the coefficient of determination?

A

Measures the proportion of variability in one variable that can be determined from the relationship with the other variable.

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12
Q

What is the null hypothesis (H0) in correlation testing?

A

H0: ρ = 0.

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13
Q

What does a partial correlation measure?

A

The relationship between two variables while controlling the influence of a third variable.

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14
Q

What is the Spearman correlation used for?

A

Data from an ordinal scale (ranks) or when both variables are consistently directional but may not be linear.

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15
Q

Fill in the blank: The _______ correlation measures the relationship between two variables where one variable has only two values.

A

Point-biserial.

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16
Q

What is the Phi coefficient used for?

A

Both variables are dichotomous.

17
Q

What does a larger r value indicate?

A

A stronger correlation.

18
Q

What is the effect size of an r value of 0.90?

19
Q

What does the term ‘outlier’ refer to in correlation analysis?

A

An extremely deviant individual in the sample.

20
Q

What is the impact of a restricted range of scores on correlation coefficients?

A

It may produce a very different correlation than would a broader range of scores.

21
Q

What are the steps in hypothesis testing for correlation?

A
  • State the hypotheses
  • Determine alpha and critical value
  • Compute the Pearson r
22
Q

What is the significance of a correlation of 0.6 compared to 0.3?

A

0.6 (r² = 0.36) is more than twice as strong as 0.3 (r² = 0.09).

23
Q

How do you handle tied scores in Spearman correlation?

A

Compute the mean of their ranked position and assign this mean value as the final rank.

24
Q

What is the formula for calculating the Spearman correlation?

A

Use D as the difference between X rank and the Y rank for each individual.