Question

A developmental psychologist visits a local playground and notices that boys were more frequently jumping off of high surfaces than girls. Now, she wants to see if she can observe gender differences in risk-taking behaviors during childhood. Which of the following methods would be the most effective tool for determining whether boys are more likely to jump off of high surfaces than girls on a playground? Survey Case study Naturalistic observation Experimental

Ask by Fowler Hampton. in the United States
Mar 20,2025

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Answer

The best method is **naturalistic observation**.

Solution

1. The researcher wants to investigate a real-world behavior (jumping off high surfaces) without interfering in the natural setting. 2. A survey requires self-reporting and may not accurately capture impulsive or risky behavior observed in a playground setting. 3. A case study focuses on an individual or a very small group, which would not be representative of the general child population. 4. An experiment involves manipulating conditions, which is not appropriate or ethical for observing natural risk-taking behaviors in children. 5. **Naturalistic observation** is the method in which the psychologist would watch and record behavior as it naturally occurs in the playground without intervention. Therefore, the most effective tool is: \( \textbf{Naturalistic observation} \)

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Naturalistic observation is the most effective tool in this scenario because it allows the psychologist to observe children's behavior in their natural environment without interference. This method provides insight into genuine risk-taking behaviors, such as jumping off high surfaces, as they unfold in real-time, enabling the researcher to accurately quantify the instances of boys and girls engaging in this activity. On the other hand, an experimental method would involve manipulation of variables and controlled conditions, which may not reflect the authentic situations children encounter on the playground. The nuanced interactions and spontaneity of real-life settings offer richer data for understanding gender differences in risk-taking behaviors.

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