Mediation & Moderation Analysis Guide

Pro v1.0.0 1 view

Complete mediation and moderation analysis using PROCESS macro or SEM. Generates runnable code, interprets results, and provides APA reporting templates.

What You Get

Get runnable analysis code, correct model selection, and publication-ready APA results sections for mediation, moderation, and conditional process models.

The Problem

Researchers struggle with mediation and moderation analysis: choosing the right PROCESS model number, distinguishing mediation from moderation, interpreting bootstrap confidence intervals vs p-values, and writing APA-compliant results sections.

The Solution

Guides researchers through the complete mediation/moderation analysis workflow. Uses a decision tree to determine correct model type, recommends specific PROCESS model numbers (1, 4, 6, 7, 8, 14, 58), generates runnable syntax for SPSS/R/Python, explains interpretation of direct/indirect/conditional effects, and produces APA-formatted reporting templates.

How It Works

  1. 1 Determine model type using decision tree (mediation vs moderation vs moderated mediation)
  2. 2 Draw ASCII path diagram with labeled effects (a, b, c' paths)
  3. 3 Select appropriate PROCESS model number based on which paths are moderated
  4. 4 Generate runnable code for user's preferred software (SPSS, R, or Python)
  5. 5 Explain interpretation of each effect including bootstrap CI significance
  6. 6 Produce APA-formatted results section template with all required statistics

What You'll Need

  • Research question with IV, DV, and mediator/moderator variables identified
  • Software access: SPSS PROCESS macro, R with mediation/interactions packages, or Python with pingouin/statsmodels
  • Sample size (N > 100 recommended for adequate power)

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Requires Pro subscription ($9/month)

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