Verify identificationDocument the decision and its evidence.
Bootstrap indirect effectsDocument the decision and its evidence.
Review global and local fitDocument the decision and its evidence.

WHAT IS INSIDE

A reproducible path through the workflow.

01

Audit observed scores

Review missingness, distributions, ranges, and correlations.

02

Estimate the model

Use FIML and bootstrap intervals for indirect effects.

03

Assess fit

Report global indices, residuals, paths, and uncertainty.

04

Compare with theory

Evaluate a prespecified alternative without automated searching.

SCOPE AND BOUNDARIES

Match the workflow
to the question.

Before adapting the example:

  • Run the complete synthetic workflow.
  • Use only a de-identified working copy.
  • Document assumptions and analysis decisions.
  • Review the model with the committee.

This workflow models observed scores. It does not replace a latent measurement model or establish causal mediation from cross-sectional associations.

OUTPUT-ONLY PUBLIC PREVIEW

Explore the complete worked example.

Open full screen ↗
Observed-Variable Path Analysis · Dissertation Stats Helper

The preview shows results, figures, and guidance. The paid version includes all editable source and reusable code. Source code and session information are omitted.

YOUR DIGITAL DOWNLOAD

Run the example.
Make it your own.

  • Complete editable R Markdown source
  • Synthetic data and reproducible generator
  • Worked HTML report and reusable exports
  • Dynamic interpretation and diagnostic guidance
  • Setup, generation, version, and license documentation

VERSION 1.0.0

Complete workflow.
$59 one time.

Pay securely and receive the version 1.0.0 ZIP with the editable analysis, synthetic data, documentation, and rendered report.

Purchase for $59 Review purchase terms