Study Design & Power Analysis · TOOL GUIDE

Precision Analysis

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Understand the method. Use it with confidence.

Calculate Minimum Detectable Effect (sensitivity analysis). Quantly runs the method against your active analysis context and returns structured results for review and interpretation.

01

When to use it

Use this tool before collecting data to plan sample size, precision, allocation, or detectable effects.
Use it only when the selected variables and study design match the method's requirements.

02

How to use it

  1. Open the tool from the Quantly Tools panel.
  2. Confirm the active dataset and analysis session.
  3. Set Sample Size (per group/total) (Required): The number of participants you have (per group for T-Test/ANOVA, total for others).
  4. Set Target Power (1 - β) (Required): The desired probability of detecting an effect.
  5. Set Significance Level (α) (Required): The probability of a Type I error.
  6. Set Test Type (Required): The statistical test you plan to use.
  7. Set Number of Groups (ANOVA) (Optional): Only used for ANOVA.
  8. Set Degrees of Freedom (Chi-Square) (Optional): df = (rows-1)*(cols-1). Only used for Chi-Square.
  9. Review optional or advanced settings and keep defaults unless your design requires a change.
  10. Run the tool, inspect warnings and diagnostics, then save or export the result with its assumptions.
03

How to interpret results

Treat the result as a planning estimate driven by the assumptions you entered. Recalculate under plausible alternative effect sizes, variability, attrition, and significance levels.