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If someone does a study which, for statistical reasons, I…

“If someone does a study which, for statistical reasons, I think is hopelessly underpowered or nonidentified, my best and most useful advice will not be tips on how to calculate p-values better, or how to construct an explanation for some particular data pattern. Rather, my advice will be to start…” quote by Andrew Gelman
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“If someone does a study which, for statistical reasons, I think is hopelessly underpowered or nonidentified, my best and most useful advice will not be tips on how to calculate p-values better, or how to construct an explanation for some particular data pattern. Rather, my advice will be to start over, to reconsider what you think you already know, maybe to question some prominent work in your subfield, and quite possibly to think a lot harder about measurement, and about the relation of your data to your underlying constructs of interest.”

Andrew Gelman

About This Quote

This interpretation was drafted with AI assistance. It is one reading of the quote, not the author's own explanation.

When a study lacks power or clear identification, the best advice is to rethink fundamentals, not just tweak statistics.

In simple terms: If a study is weak, start over and question assumptions.

Key Takeaway

Reevaluate design before fixing numbers.

Themes

research methodology statistics critical thinking

Mood

analytical cautious

Type

academic advisory

When to use this quote

  • academic research
  • grant proposals
  • data analysis

Key Concepts

study design measurement theory

Questions to Reflect On

  • What core assumptions underlie your current design?
  • How could measurement be improved?
A Different Perspective

Reworking fundamentals can be time‑consuming and may face resistance.

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