Suppose a government official reviews the traffic fatality observational data and concludes: 'Since cell phone use was recorded in numerous fatal crashes last year, we have proven that cell phone use causes these fatalities.' Apply your knowledge of research designs to critique the validity of the official's causal claim.
Question: Suppose a government official reviews the traffic fatality observational data and concludes: 'Since cell phone use was recorded in numerous fatal crashes last year, we have proven that cell phone use causes these fatalities.' Apply your knowledge of research designs to critique the validity of the official's causal claim.
Sample answer: The official's causal claim is invalid because the study uses a non-experimental design where researchers merely recorded naturally occurring data. Without manipulating driver cell phone use or controlling for other variables, the study can only describe patterns and make predictions, but it cannot prove that cell phone use causes fatalities.
Key points:
- Critiques the causal claim as invalid for a non-experimental study.
- Explains that cell phone use was observed naturally and not manipulated.
- Applies the limitation that observational studies cannot definitively establish cause-and-effect.
Rubric: The response must apply the concept of non-experimental limitations to critique the official's claim. It should state that since the independent variable (cell phone use) was not manipulated, a causal relationship cannot be definitively concluded.
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Suppose a government official reviews the traffic fatality observational data and concludes: 'Since cell phone use was recorded in numerous fatal crashes last year, we have proven that cell phone use causes these fatalities.' Apply your knowledge of research designs to critique the validity of the official's causal claim.