In the example of non-experimental research involving the observation of a busy intersection, what conclusion are researchers UNABLE to draw about drivers' genders and cell phone usage?

In the intersection observation study, researchers can use their findings to make predictions about driver behavior even though they did not manipulate any variables.

A researcher conducts a study by observing a busy intersection to record drivers' genders and cell phone usage. Match each specific aspect of this intersection study to the research concept it illustrates.

A researcher conducts an intersection observation and finds that women use cell phones more frequently than men while driving. Arrange the logical steps to analyze why this study's design fails to establish a causal link between gender and phone usage.

You are constructing a new study to investigate the relationship between the type of beverage students purchase and whether they study alone or in groups. Arrange the following steps to design a research protocol that mirrors the logic of the intersection observation study.

Based on the intersection observation example, match each research concept to its correct description.

A researcher reviews the data from the intersection observation study and concludes, 'This evidence demonstrates that driver gender is the reason for differences in cell phone usage frequency.' In evaluating the scientific validity of this conclusion, a critic would argue that the claim is unjustified because the study's non-experimental design lacks _____.

A psychology student observes a campus coffee shop, recording whether customers are wearing earbuds and whether they are working alone or in groups. No variables are manipulated. A classmate reviews the data and concludes: "This study proves that wearing earbuds causes students to prefer working alone." How should the student respond to this interpretation?

A critic argues that the intersection cell phone observation study would become an experiment—and therefore allow causal conclusions—if the researcher simply increased the sample size by observing drivers at dozens of additional intersections.

A public health agency asks a researcher to use the intersection observation data—showing gender differences in cell phone use while driving—to justify a new causal policy argument. A methodologist reviewing this proposal should caution that the intersection study can only demonstrate a _____ between gender and cell phone use, and therefore cannot by itself provide a causal rationale for policy, because no variable was experimentally manipulated in the study.