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Use Supplied Replicate Weights With the Correct Scaling Rule

Preserve the provider’s replication method instead of treating replicate columns as interchangeable samples.

Export Research Figures with Reproducible Size and Content

Preserve data, code, dimensions, and rendering settings so a publication figure can be regenerated accurately.

Inspect Residuals Against Fitted Values Before Trusting a Regression

Use residual patterns to distinguish mean-shape problems, changing spread, and observations needing investigation.

Pilot questionnaire burden with real task observations

Measure completion effort and comprehension before shortening a survey or launching recruitment.

Choose and interpret a restricted mean survival time

Prespecify the time horizon and explain a survival-curve area difference in time units.

Round Research Results Without Changing Their Interpretation

Keep calculations at full precision and apply a declared display policy consistently across text, tables, and figures.

Write Figure Descriptions That Preserve the Scientific Message

Provide an accessible summary and supporting detail without inventing conclusions absent from the plotted data.

Evaluate Screening Automation Before Letting It Exclude Records

Separate ranking assistance from exclusion decisions and measure missed eligible records on an independently checked sample.

Peer Review a Search Strategy Before Running the Final Search

Check concept coverage, Boolean logic, field choices, and restrictions against the review question.

Compare Simulation Bias and RMSE Without Treating Them as Interchangeable

Measure systematic error and total squared error against the scenario-specific truth.

Compare Reported Standard Errors with Empirical Simulation Variation

Use between-replicate spread to assess whether model-based uncertainty is calibrated.

Evaluate Interval Coverage and Width Together

Check how often simulated intervals contain the truth while preserving failed intervals and interval lengths.