PSYC 310 Ch 6 Flashcards
Indication of the strength of the relationship between two variables
Magnitude
Figure that graphically represents the relationship between two variables
Scatterplot
Direct relationship between two variables; as one variable increases, so does the other
Positive Relationship
Increase in one variable is accompanied by a decrease in the other
Negative Relationship
Assumption that a correlation indicates a causal relationship between two variables
Causality
Inference made with respect to the direction of a causal relationship between two variables
Directionality
Problem of a correlation between two variables being dependent on another (third) variable
Third-variable Problem
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
Partial Correlation
Variable that is truncated and has limited variability
Restrictive Range
Arguing that a well-established statistical trend is invalid because we know a “person who” went against the trend
Person-Who Argument
Most commonly used correlation coefficient when both variables are measured on an interval or ratio scale
Pearson Product-Moment Correlation Coefficient (Pearson’s r)
Measure of the proportion of the variance in one variable that is accounted for by another variable; calculated by squaring the correlation coefficient
Coefficient of Determination (r-squared)
Correlation coefficient used when one (or more) of the variables is measured on an ordinal (ranking) scale
Spearman’s Rank-Order Correlation Coefficient
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
Point-Biserial Correlation Coefficient
Correlation coefficient used when both measured variables are dichotomous and nominal
Phi Coefficient