Counselor Education CECE Practice Exam Prep and Study Guide

The relationship between driving speed and gas prices can be effectively investigated through a correlational design. This type of research design is used to determine whether a relationship exists between two variables and to what extent they are related. In this scenario, the goal is to explore how driving speed may influence gas prices or if there is any association between the two.

In a correlational study, researchers collect data on both driving speed and gas prices, analyzing the patterns and relationships between these variables without manipulating them. This approach allows for the examination of trends and the possibility of making predictions based on the observed data. By establishing whether higher or lower driving speeds correlate with specific gas prices, insights can be gained about consumer behavior and economic factors affecting fuel efficiency.

Causal-comparative designs focus on understanding causes and effects by comparing different groups, often after events have occurred, making them less suitable for this context where the relationship between two continuous variables is being analyzed. Comparative designs typically assess differences between distinct groups rather than exploring the correlation between two variables. Ex post facto designs investigate existing differences after the fact but do not aim to determine a direct relationship like correlation does.

Thus, a correlational design is the most appropriate choice for exploring the relationship between driving speed and gas prices, as