Computer simulations were used to compare change score and regression
methods for identifying relationships between a third variable and rea
ctivity. When the third variable was not correlated with baseline, the
two methods were equally effective for detecting relationships betwee
n the third variable and change. However when there was a correlation
between the third variable and baseline, regression measures of change
yielded a high rate of Type one errors. Regression methods also had l
ess power for detecting a relationship between the third variable and
change when the relationship was in the direction opposite to the sign
of the correlation with baseline. The implication of these findings f
or two areas of research are discussed: the relationship of fitness to
heart rate reactivity and the relationship of hypertension to blood p
ressure reactivity.