Worksheet #2
Understanding Correlations
Correlational studies show relationships between variables. If high scores on one variable predict high scores on the
other variable, the correlation is positive. If high scores on one variable predict low scores on the other variable, the
correlation is negative.
Showing that two variables are related does not justify claiming that a causal relationship exists. There may be a
causal relationship, but other explanations usually exist. For example, the variables may be related because both
have a causal relationship with a third variable.
For each of the correlational studies described below, decide whether the correlation is positive or negative and give
two alternative explanations for each finding.
1. A study of married couples showed that the longer they had been married, the more similar their opinions on
social and political issues were.
Positive or negative?
Explanation 1:
Explanation 2:
2. An intelligence test was given to all the children in an orphanage. The results showed that the longer children
had lived in the orphanage, the lower their IQ scores.
Positive or negative?
Explanation 1:
Explanation 2: