**Course description:**

This course will cover an in depth exploration of structural equation modeling. You will learn the basic concepts of SEM and how to model different types of research questions, as well as how to report these models in APA style. Path analysis, confirmatory factor analysis, and multi-group models will be several types of techniques covered.

**Textbooks Used:**

- Required: Beaujean:
*Latent Variable Modeling in R* - Tabachnick & Fidell:
*Using Multivariate Statistics* - Byrne:
*Structural Equation Modeling in Amos* - Brown:
*Confirmatory Factor Analysis for Applied Research* - Kline:
*Principles and Practices of Structural Equation Modeling* - Navarro:
*Learning Statistics in R*

**Course Schedule Summer Semester:**

The following table provides information used for a summer schedule. Video links from the YouTube channel are attached to match course materials. All videos are recorded using *R*, but several *AMOS* assignments are included in the downloadable material.

**Download all materials at our OSF page: https://osf.io/2y67f/.**

Topic | Lecture | Example | Class Assignment |
---|---|---|---|

Introduction to Software | R Studio & Commands Missing Data & Packages Object Types Functions Subsetting |
Intro R | |

Data Screening | Accuracy Checks Missing Data Outliers Assumptions |
Example 1 | Data Screening |

Exploratory Factor Analysis | Lecture 1 Lecture 2 |
Example 1 | EFA Old EFA New |

Terms and Concepts in SEM | Lecture 1 Lecture 2 |
Basic Concepts | |

Path Analysis Estimation |
PA Lecture Estimation Lecture |
PA Example | Path Analysis 1 |

Path Analysis Fit Indices |
Lecture | Example | Path Analysis 2 |

Confirmatory Factor Analysis: Basics | Lecture | Example | CFA: Basics |

CFA: Hierarchical Models | Lecture | Example | CFA: Hierarchical |

Full Structural Models | Lecture | Example | Full SEM |

Multi-Trait Multi-Method | Lecture | Example | MTMM |

Multigroup CFA | Lecture | Example | MGCFA 1 MGCFA 2 |

Latent Growth Models | Lecture | Example | LGM |

Item Response Theory | Lecture | Example | Dichotomous IRT Polytomous IRT |