Document assumptionsRecord the source, selected value, plausible range, and rationale.
Compare scenariosShow how uncertain effects, ICCs, attrition, and correlation change the target.
Plan recruitmentTranslate analyzable N into invitations through explicit stages.

WHAT IS INSIDE

One connected planning workflow.

The package joins statistical requirements to operational recruitment and produces the tables, figures, and text needed for a proposal.

01

Planning intake and assumptions register

Define the estimand, decision rule, effect evidence, plausible ranges, dependence, and feasibility constraints.

02

Basic and regression designs

Plan means, proportions, correlations, ANOVA, and incremental regression effects.

03

Sensitivity and precision

Generate power curves, minimum detectable effects, and confidence-interval width requirements.

04

Clusters and repeated observations

Explore ICC, cluster size, longitudinal correlation, dropout, and diary compliance.

05

Simulation-based planning

Evaluate factorial interactions and indirect effects with Monte Carlo uncertainty and failure tracking.

06

Recruitment and reporting

Create a staged recruitment waterfall and dynamic dissertation-ready planning text.

DESIGNED FOR PROPOSAL PLANNING

Use it before data collection and whenever the design changes.

This workflow is useful when:

  • Your committee wants more than a screenshot from a calculator.
  • You need to justify a smallest effect of interest and show sensitivity.
  • Your study includes schools, classrooms, sites, waves, or diary observations.
  • You need to translate analyzable N into a realistic recruitment target.
  • You need reproducible tables, figures, and methods text.

Adaptive, sequential, equivalence, regulatory, rare-event, and highly specialized latent-variable designs require extensions or design-specific consultation.

PUBLIC PREVIEW

Review the planning output.

Open full screen
Power Analysis and Dissertation Sample-Size Planning · Public Preview

The preview shows the planning output and guidance without exposing the reusable R code. The paid package includes the editable source, functions, templates, outputs, documentation, and license.

THE DOWNLOADABLE PACKAGE

Run the examples.
Replace the assumptions.

Begin with reproducible scenarios, then replace each planning value with evidence appropriate for your population, measures, design, and analysis.

  • Editable R Markdown source and rendered report
  • Reusable planning functions
  • Planning intake and assumptions-register templates
  • Power, precision, and detectable-effect curves
  • Cluster and longitudinal sensitivity displays
  • Factorial, diary, mediation, and SEM extensions
  • Recruitment waterfall and scenario exports
  • Dynamic planning and limitations text
  • Start guide, assumptions guide, and license

The workflow supports study planning and documentation. The researcher remains responsible for selecting meaningful effects, defensible assumptions, and a model that answers the research question.

VERSION 1.0

Complete planning workflow.
$59 one time.

Purchase the versioned ZIP with the editable analysis, reusable functions, templates, outputs, documentation, and public-preview report.

Purchase for $59 Review purchase terms