Package: stdmod 0.2.13

Introduction | This Guide Shows to use std_selected() to: | Sample Dataset | Model | Correct Standardization For the Moderated Regression | The Arguments | Advantage | Nonparametric Bootstrap Confidence Intervals | Standardize Independent Variable (Focal Variable) and Moderator | Further Information | Reference(s)

Purpose | Setup the Environment | Load the Dataset | Moderated Regression | Mean Center the Moderator | Mean Center The Moderator and the Focal Variable | Standardize The Moderator and The Focal Variable | Standardize The Moderator, The Focal Variable, and the Outcome Variable | Standardize All Variables | The Usual Standardized Solution | Improved Confidence Interval For "Betas" | Further Information | Reference

Purpose | Setup the Environment | Load the Dataset | Moderated Regression | Standardized Moderation Effect | The Common (Incorrect) Standardized Solution | Improved Confidence Intervals | Further Information | Reference(s)

Purpose | Setup the Environment | Load the Dataset | Fit the Model by lavaan::sem() | Compute the Standardized Moderation Effect | Form Bootstrap Confidence Interval | Remarks | Reference(s)

Introduction | What cond_effect() Can Do | Major Arguments | Regression Output, Predictor (x), and Moderator (w) | Levels of the Moderator | Numeric Moderators | Categorical Moderators | Nonparametric Bootstrap Confidence Intervals | Further Information | Reference

Introduction | What plotmod() Can Do | Major Arguments | Model, Predictor (x), and Moderator (w) | Levels of the Moderator | Numeric Moderators | Categorical Moderators | Tumble Graph | Decoration and Annotation | Variable Labels | Title | Line Width and Point Size | Information | Conditional Effects | Definitions of the Levels of the Moderator | Any Variables Standardized? | Tweak the Graph | Technical Notes for Tumble Graph | Further Information | Reference