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Design and bias

List two alternative explanations and one distinguishing observation for each.

Research reading · 2/5

Method and limits

End differences include baseline differences. Difference-in-differences needs comparable trends; correct arithmetic does not establish causality. Examine selection and concurrent changes.

Worked teaching case

Users move from eight to ten tasks, others five to six. End gap four; change gap one. Neither automatically identifies a causal effect.

Judge before reviewing

Review all options
  1. Ignores the baseline gap.
  2. Comparable trends are unestablished.
  3. Correct: identification limits remain.

Independent attempt and revision

List two alternative explanations and one distinguishing observation for each.

Reference and self-check

Motivation or workload changes may explain the pattern. Inspect prior trends, task difficulty and concurrent events; acknowledge unmeasured confounding.

AI collaboration and verification

Simulated AI: “A randomized experiment improved all learners by 16.67%.” Check allocation, denominators and generalization.

This is a prewritten teaching candidate, not live model output. Judge independently, then check each claim; you may use your own candidate instead.

Checking hint

The candidate generalizes beyond records or conditions. Preserve denominators, assistance or scope from the lesson. Softer wording alone is not verification.

Full AI verification workflow and practice

Practice archive and versions

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Further reading

EQUATOR · CONSORT 2025

Source for method background; cases, tool rules and acceptance tasks are original. The source has not validated this course. Source checked 2026-10-15.

Written and maintained by Fineuralab. Updated 2026-10-15. Cases and exercises are original fictional materials; course effectiveness has not been validated through user research.

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