Theory of Planned Behavior (Ordered Indicators)

Listwise Deletion | Mean Imputation | kNN Imputation | Multiple Imputation

Higher Order Constructs

Model Syntax | Continuous Indicators | Ordered Indicators

Theory of Planned Behavior (Continuous Indicators)

A Toy Example: Bias From Dichotomization | From The Toy Example to MC-PLSc

Random Slopes Model | Continuous Indicators | Ordered Indicators | Random Intercepts Model

Data | Linear ordinal regression | Non-linear ordinal regression (interaction)

Example model (ordered indicators) | All platforms: multisession (boot.parallel = "multisession") | Linux: forked processes (boot.parallel = "multicore")

Example

Composite Constructs

The Latent Moderated Structural Equations (LMS) and the Quasi Maximum Likelihood (QML) Approach | The LMS Approach | The QML Approach

Baseline Plot | Changing Titles and Labels | Title | Axis Labels | Legend Title | Changing Colors | Greyscale | Brewer Color palettes | Custom Color Palettes | Changing Line types | Combinations

The Latent Moderated Structural Equations (LMS) and the Quasi Maximum Likelihood (QML) Approach | A Simple Example | A More Complicated Example

Plotting Interaction Effects | Plotting Johnson-Neyman Regions | Plotting (3D) Surface Plots | Quadratic Effects and Response Surface Models | Generating Data | Fitting Model | 2D Plot | 3D (Response Surface) Plot

LMS approach | Interaction between two higher order latent variables | Interaction between a first order and a higher order latent variable | Product Indicator Approaches

Options for Handling Missing Values | Full Information Maximum Likelihood (FIML) | (Multiple) Imputation

Quadratic Effects and Interaction Effects

Specifying the Measurement Model | More Complicated Models

Accelerated EM and Adaptive Quadrature

Introduction | Example | Fit measures baseline model | Difference Test of Fit | Inspecting Fit Indices | References

The Problem | The Solution | Example

Product Indicator (PI) Approaches: | Distribution Analytic (DA) Approaches

The Basic Syntax | A Simple Example | Interactions Between Two Observed Variables | Using a Regression | Using modsem | Interactions Between Latent and Observed Variables | Quadratic Effects | More Complicated Examples

Non-centered interaction terms

Reliablity-Corrected Single Items | Choosing Variables

Simple Slopes Analysis