MedModr X M Y W
Mediation & Moderation Analysis Tool
Initializing modules...
Path Diagram
Simple Slopes

Categorical Variable Encoding

Loading categorical variables...
Statistical Software

Mediation, Moderation, &
Conditional Process Analysis
done right.

A browser-based software for mediation, moderation, and conditional process analysis. Runs entirely in your browser with no installation required. Use it online or offline, on any device, anywhere.

9
Analysis Types
OLS
Matrix Regression
b + β
Both Coefficients
Bootstrap
Indirect Effect CIs
Complete Analysis Suite
Simple Mediation
Tests whether X → M → Y transmits effect through a single mediator
Parallel Mediation
Tests multiple independent mediators X → {M₁...Mₖ} → Y
Serial Mediation
Tests causal chain X → M₁ → M₂ → Y
Simple Moderation
Tests if X→Y relationship depends on moderator W (X×W interaction)
First Stage Moderated Mediation
Tests if indirect effect depends on W moderating the X→M path
Second Stage Moderated Mediation
Tests if indirect effect depends on W moderating the M→Y path
Both Stages Moderated Mediation
Tests if indirect effect depends on W moderating both X→M and M→Y paths
Moderated Moderation
Tests three-way interaction X × W × Z → Y
Moderated Serial Mediation
Tests if serial indirect effect (X→M₁→M₂→Y) is moderated by W
Data Screening & Diagnostics
Outliers, normality, correlation, histograms, Q-Q plots
Import, Export & Reporting
CSV/Excel import, missing data handling, Word/PNG export

Data Processing

Upload your data, handle missing values, and prepare for analysis.

1
Upload
2
Select Vars
3
Preview
4
Missing Data
5
Impute
6
Screening
7
Finalize
Step 1: Upload Data File
Drag & Drop or Click to Browse
Supports CSV and Excel files (.csv, .xlsx, .xls)
CSV works offline · Excel requires internet

Statistical Analysis

Select variables, assign to roles, and run analysis.

Variable Assignment
Available Variables Click to select, then use buttons below
Independent (X)
No variables assigned
Mediator (M)
No variables assigned
Mediator (M2)
For serial mediation
Outcome (Y)
No variables assigned
Moderator (W)
For moderation/modmed
Covariates
No variables assigned
Analysis Type: Confidence level: Bootstrap samples: Bootstrap method:
Categorical Vars: No categorical variables detected

Author

Connect with the creator of MedModr.

👨‍💻
Mudasir Mohammed Ibrahim

Mudasir Mohammed Ibrahim is a Ghanaian nurse, researcher, data analyst, and open-source advocate 🇬🇭. He is the creator of MedModr. His work is driven by a commitment to open science, reproducible research, and expanding equitable access to high-quality analytical tools for the global research community.

Connect with me