MPlus Code

On this page, users will find Mplus Code/Syntax (version 8) for a variety of different analyses that can be downloaded and adapted for your own use. Please report any typos to Michael at Michael.Fitzgerald@okstate.edu

Note. Input and output files are available for individual use and download, but the raw data are not publicly available unless otherwise specified

Mplus Code/Syntax for Confirmatory Factor Analyses 

Confirmatory Factor Analysis

Categorical Confirmatory Factor Analysis

Basic Model: Input Output

Multiple Group Model: 

Categorical Confirmatory Factor Analysis with Dyadic Data

   Configural: Input Output

Metric: Input Output

   Scalar: Input Output

Longitudinal Measurement Invariance for Categorical Variables

Configural:

Metric:

   Scalar:

Longitudinal Measurement Invariance for Continuous Variables

Configural: Input  Output 

Metric: Input  Output

Scalar: Input  Output

Omega Reliability 

Calculating Omega using Congeneric Model: Input File Mplus Output

Calculating Omega using Tau-equivalent Model: Input File Mplus Output

Mplus Code/Syntax for Dyadic Measurement Invariance

Dyadic Measurement Invariance

Marker Method 

Configural: Input Output

Weak/Metric: Input Output

Strong/Scalar: Input Output

Strict/Residual: Input Output

Standardization Method

Configural: Input Output

Weak/Metric: Input Output

Strong/Scalar: Input Output

Strict/Residual: Input Output

Factor Mean: Input Output

Factor Mean Constrain to Equality: Input Output

Factor Variance: Input Output

Factor Variance Constrained to Equality: Input Output

Effects Coding

Categorical Confirmatory Factor Analysis with Dyadic Data

   Configural: Input Output

Metric: Input Output

   Scalar: Input Output

Mplus Code/Syntax for Actor Partner Interdependence Model (APIM)

Observed Variable Basic APIM

Basic APIM: Input Output

I-SAT Model for Basic APIM: Input Output: Input Output

Observed Variable APIM Mediation (APIMeM)

APIM Mediation: Input Output 

I-SAT Model for APIM Mediation: Input Output

Observed Variable APIM Moderation (APIMoM) with Mixed Moderator

APIM Moderation (single interaction term: actor X partner ): Input   Output

APIM Moderation (additional moderator: four interaction terms): Input  Output

Observed Variable APIM Moderation (APIMoM) with Within Dyad Variable Moderator

Observed Variable APIM Moderation (APIMoM) with Between Dyad Variable Moderator

Observed Variable Cross Lagged Actor Partner Interdependence Model: 

CL-APIM: Input output 

Observed Variable Random Intercept Cross Lagged Actor-Partner Interdependence Model:

CL-RI-APIM: Random Intercept Loadings Fixed to 1: Input Output

CL-RI-APIM: Random Intercept Loadings Freely Estimated but Constrained to Equality: Input Output

Latent Variable Actor-Partner Interdependence Model

Cross-Sectional with Distinguishable Dyads: Input Output

Latent Variable Actor-Partner Interdependence Mediational Model

Baseline Latent Variable APIMeM: input output 

Latent Variable Actor-Partner Interdependence Moderation Model (LMS) with Mixed Moderator (Actor By Partner Interaction)

Baseline Latent Variable APIMoM: Input Output

Latent Variable Actor-Partner Interdependence Moderation Model (Bayes) with Mixed Moderator

Baseline Latent Variable APIMoM: 

Moderated Mediation in the Actor-Partner Interdependence

Moderated Mediation with Loop Plots and Simple Slopes: Input Output

Mplus Code/Syntax for Common Fate Model

Baseline and Measurement Models in Common Fate Model

Common Fate Measurement Model with Three Latent Factors: Input  Output 

Common Fate Model: Input Output 

Common Fate Mediational Model:

Common Fate Mediational Model: Input  Output

Common Fate Model with Individual and Dyadic Pathways

Common Fate Model with Individual and Dyadic Paths: Input  Output

Common Fate Model with Individual and Dyadic Paths Constrained to Equality:   Input  Output

Common Fate Model with Individual and Dyadic Paths (APIM): Input Output

Common Fate Moderation Model 

Common Fate Moderation Model with LMS interaction (Maximum Likelihood): Input Output 

Common Fate Moderation Model with Bayes Estimation: 

Common Fate Growth Model

Common Fate Growth Model: Input  Output

Random Intercept Common Fate Model

RI-CFM: Input Output

Mplus Code/Syntax for Latent Congruence Model

Latent Congruence Model

Latent Congruence Model with Observed Variables: Input  Output

  Latent Congruence Model with Latent Variables: input output

Mplus Code/Syntax for Dyadic Growth Curve

Dyadic Growth Curve: Input  Output 

Dyadic Growth Curve with Structured Residuals: Input Output

Mplus Code/Syntax for Multilevel SEM with Dyadic Data

Descriptive Statistics

Intraclass Correlation: Input Output

Factor Analysis

Multilevel Confirmatory Factor Analysis: Input Output

Multilevel Structural Equation Modeling

Multilevel Regression: Input Output

MSEM Mediation

Multilevel SEM with Within Dyad Mediation: Input Output

Multilevel SEM with Indirect Effects at Within and Between Level: Input Output

Comparing Indirect Effects at Level 1 and Level 2 (Contextual Effects) in Multilevel      SEM: Input Output

MSEM Moderation

Level 1 Interaction: Input Output

Level 2 Interaction: Input Output

Multilevel SEM with Within Dyad Moderated Mediation: Input Output 

Mplus Code/Syntax for Latent Growth Curve Analyses

Mplus Code/Syntax for Structural Equation Modeling 

Confirmatory Factor Analysis

Categorical Confirmatory Factor Analysis

Single Group Model: Input Output

Multiple Group Model: 

Longitudinal Measurement Invariance for Categorical Variables

Configural:

Metric:

   Scalar:

Longitudinal Measurement Invariance for Continuous Variables

Configural: Input  Output 

Metric: Input  Output

Scalar: Input  Output

Omega Reliability 

Calculating Omega using Congeneric Model: Input File Mplus Output

Calculating Omega using Tau-equivalent Model: Input File Mplus Output

SEM diagnostics

Mahalanobis Distance, Loglikelihood, and Influence: Input

Removing Cases From Analysis

Removing one case: Input 

Removing multiple cases: Input

Subgroup Analyses 

UseObservations (use for most scenarios)

Input

SubPopulation (use when Type = Complex)

Input