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Briefly describe the primary concern with focusing exclusively on group means in data analysis, and explain how a treatment can impact every participant while still appearing to have no effect.

Question: Briefly describe the primary concern with focusing exclusively on group means in data analysis, and explain how a treatment can impact every participant while still appearing to have no effect.

Sample answer: The primary concern is that group means can obscure important individual differences among participants. A treatment can seem to have no effect if it produces a strong positive effect on half of the participants and an equally strong negative effect on the other half. When the average is calculated, these opposing outcomes statistically cancel each other out, making the treatment group's mean identical to the control group's mean.

Key points:

  • Focusing exclusively on group means obscures important individual differences.
  • A treatment might have a strong positive effect on half the participants.
  • The same treatment might have an equally strong negative effect on the other half.
  • Opposing effects statistically cancel each other out, resulting in a mean that looks identical to a control group.

Rubric: Full credit is given for explicitly recalling that group means obscure individual differences and for providing the explanation of opposing positive and negative effects canceling each other out statistically.

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Updated 2026-05-27

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Research Methods in Psychology - 4th American Edition @ KPU

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