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Correlation Quote by Daniel Kahneman

“could have had a skiing accident during adolescence that left her slightly impaired, and so on. Recall that the correlation between two measures—in the present case reading age and GPA—is equal to the proportion of shared factors among their determinants. What is your best guess about that…” quote by Daniel Kahneman
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““could have had a skiing accident during adolescence that left her slightly impaired, and so on. Recall that the correlation between two measures—in the present case reading age and GPA—is equal to the proportion of shared factors among their determinants. What is your best guess about that proportion? My most optimistic guess is about 30%.””

Daniel Kahneman

About This Quote

The passage asks to estimate the shared variance between reading age and GPA, suggesting an optimistic guess of about 30%.

In simple terms: Estimate shared influence between two measures.

Key Takeaway

Consider that roughly a third of variance may be shared.

Themes

statistics education psychometrics

Mood

analytical critical

Type

scientific educational

When to use this quote

  • academic research
  • educational assessment
  • policy making

Key Concepts

correlation shared variance estimation

Questions to Reflect On

  • How reliable is a 30% estimate?
  • What other variables could affect both reading age and GPA?
A Different Perspective

Correlation does not imply causation; other factors may dominate.

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