Chapter 8 Correlation Flashcards

1
Q

Strength Magnitude

A

A characteristic of a correlation with a focus on how strongly 2 variables are related.

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2
Q

Causation

A

The concept that variations in one variable CAUSES variation in another variable

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3
Q

Correlation Coefficient

A

A statistic that reveals the strength and direction of the relationship b/w 2 variables

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4
Q

Coefficient of Determination

A

A stat found by squaring the Pearson Correlation Coefficient that reveals the % of variance explained in each of the 2 correlated variables by the other variable

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5
Q

Shared Variance

A

The concept of 2 variables overlapping such that some of the variance in each variable is shared. The stronger the correlation b/w the 2 variables the greater the amt. of shared variance b/w them.

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6
Q

Scattergram / Scatterplot

A

A graphical depiction of each member of a distribution score on 2 variables simultaneously

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7
Q

Positive Correlation

A

A characteristic of a correlation when the scores on the 2 correlated variables move in the same direction, on average.
As the scores of one variable rise, scores on the other variable rise and vice versa.

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8
Q

Perfect Positive Correlation

A

A correlation coefficient of r = +1.0 occurs when increases in scores of a given size on one of the variables in a correlation are associated with increased scores of a related size on a second variable in the correlation.

(e.g. for each 1 - unit increased in the score on a variable X there is a corresponding 2 - unit increase in the scores on variable Y)

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9
Q

Perfect Negative Correlation

A

A correlation Coefficient of r = - 1.0 occurs when the increasing scores of a given size on one of the variables in a correlation are associated with decreasing scores of related size on a second variable in the correlation.

(i.e. for each 1 - unit increase in the score on variable X there is a corresponding 2 - unit DECREASE in scores on Y variable.

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10
Q

Pearson Product - Moment Correlation Coefficient

A

A statistic indicating the strength and direction of the relation b/w 2 continuous variables.

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11
Q

Negative Correlation

A

A descriptive feature of a correlation indicating that as scores on one of the correlated variables increase scores on the other variable decrease and vice versa

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12
Q

Dichotomous Variable

A

A categorical, or nominal variable with 2 categories.

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13
Q

Direction

A

A characteristic of a correlation that describes whether 2 variables are positively or negatively related to each other.

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14
Q

Explained Variance

A

The % of variance in one variable that we can account for, or understand, by knowing that value of the 2 variables in the correlation.

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15
Q

Cross Products

A

The product of multiplying each individual scores on 2 variables

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16
Q

Curvilinear

A

A relationship b/w 2 variables that is positive at some values but negative at other values.

17
Q

Covariance

A

The average of the cross products of a distribution.

18
Q

Truncated Range

A

When the response of a variable are clustered near the top or bottom of the possible range of scores, thereby limiting the range of scores and possibly limiting the strength of the correlation.

19
Q

Z Score

A

Standard Score

20
Q

r

A

The Sample Pearson Correlation Coefficient

21
Q

p

A

Rho, the population correlation coefficient

22
Q

Sr

A

The standard error of the correlation coefficient

23
Q

r2

A

The Coefficient of Determination

24
Q

Degrees of Freedom (df)

A

Min. amt of data needed to calculate a statistic. More practically, it is the number(s), used to approximate the number of observations in the data set for the purpose of determining statistical significance.