PSYC 310 Ch 6 Flashcards

1
Q

Indication of the strength of the relationship between two variables

A

Magnitude

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2
Q

Figure that graphically represents the relationship between two variables

A

Scatterplot

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3
Q

Direct relationship between two variables; as one variable increases, so does the other

A

Positive Relationship

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4
Q

Increase in one variable is accompanied by a decrease in the other

A

Negative Relationship

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5
Q

Assumption that a correlation indicates a causal relationship between two variables

A

Causality

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6
Q

Inference made with respect to the direction of a causal relationship between two variables

A

Directionality

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7
Q

Problem of a correlation between two variables being dependent on another (third) variable

A

Third-variable Problem

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8
Q

Correlational technique that involves measuring three variables and then statistically removing the effect of the third variable from the correlation of the remaining two variables

A

Partial Correlation

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9
Q

Variable that is truncated and has limited variability

A

Restrictive Range

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10
Q

Arguing that a well-established statistical trend is invalid because we know a “person who” went against the trend

A

Person-Who Argument

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11
Q

Most commonly used correlation coefficient when both variables are measured on an interval or ratio scale

A

Pearson Product-Moment Correlation Coefficient (Pearson’s r)

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12
Q

Measure of the proportion of the variance in one variable that is accounted for by another variable; calculated by squaring the correlation coefficient

A

Coefficient of Determination (r-squared)

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13
Q

Correlation coefficient used when one (or more) of the variables is measured on an ordinal (ranking) scale

A

Spearman’s Rank-Order Correlation Coefficient

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14
Q

Correlation coefficient used when one of the variables is measured on a dichotomous nominal scale and the other is measured on an interval or ratio scale

A

Point-Biserial Correlation Coefficient

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15
Q

Correlation coefficient used when both measured variables are dichotomous and nominal

A

Phi Coefficient

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16
Q

Procedure that allows us to predict an individual’s score on one variable based on knowing one or more other variables

A

Regression Analysis

17
Q

Best-fitting straight line drawn through the center of a scatterplot that indicates the relationship between the variables

A

Regression Line

17
Q

Both variables must be interval or ratio

A

Pearson

18
Q

Both variables are ordinal (ranked)

A

Spearman

19
Q

One variable is interval or ratio, one is nominal and dichotomous

A

Point- Biserial

20
Q

Both variables are nominal and dichotomous

A

Phi