Flashcards: Bivariate Analysis

Vary together. Or, when change in one coincides with changes in the other

We can predict the value of one variable from the value of the other variable

Looks at the relationship between two variables by using a table

1) is there a relationship

2) how strong is the relationship

3) what is the pattern or direction of the relationship

1) time order

2) non-spuriousness

3) correlation

As the independent variable goes up, the dependent variable goes down

As the independent variable goes up, the dependent variable does too

The independent variable directly effects the dependent variable

The IV and DV are not directly linked. There’s a 3rd variable/other factors that affect their relationship

Both the IV and DV are affected by a third variable that explains any apparent link between them (X and Y are not related but both caused by Z)

When a third variable intervenes between the IV and the DV

The relationship between the IV and the DV changes as the category of the third variable changes (X and Y might be related only for some Z or might have +/- relationship for different Zs)

Introduces control variables that weed out indirect relationships (also rarely used)

Someone's weight being correlated with their height

The affect of oral health on one's risk of heart disease

The number of firefighters present seems to correlate with the amount of damage caused, but the 3rd variable is the size of the fire

An increase in violent behavior after playing video games is only observed in boys but not girls