Which of the following is key to avoiding exaggerating the magnitude of sex differences?

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BlackTom AI · Accepted Answer

Question context: The prompt asks which approach is key to avoiding exaggerating the magnitude of sex differences. 
Option 1: 'taking a maximalist approach to research' would push for largest possible effects and broad generalizations, which tends to amplify perceived differences rather than temper them. This mindset is not aligned with cautious interpretation and is likely to contribute to exaggeration. 
Option 2: 'emphasizing statistical significance of a result over its effect size' prioritizes whether an effect passes a threshold (p-value) rather than how large or meaningful the effect is in practical terms. This often leads to overstating the importance of findings, especially when sample sizes inflate significance for tiny effects. 
Option 3: 'using primarily experimental methods' focuses on methodology but does not by itself address the interpretive issue of exaggerating differences. While experiments are valuable, the risk of exaggeration relates more to interpretation and reporting than to method choice alone. 
Option 4: 'communicating the distinction between statistical and practical significance' directly targets the correct practice: recognizing that a result can be statistically significant yet have a small or negligible real-world impact, and communicating that distinction reduces the tendency to inflate the magnitude of differences. 
Overall, Option 4 provides the clearest safeguard against overstating sex differences by separating what is statistically detectable from what is practically meaningful, and by reporting both aspects clearly.

PSYC_V 320 992 2024W2 Module 2 Quiz

Which of the following is key to avoiding exaggerating the magnitude of sex differences?

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