TCSM
Course Information
Acknowledgement
Instructors
Course overview
Schedule
Learning goals
Resources
Literature
Software
Reading questions
Weekly preparation
Background knowledge
Evaluation
Attendance
Assignments
Assignment 1: Path Analysis
Evaluation
Submission
Assignment 2: Confirmatory Factor Analysis
Evaluation
Submission
Assignment 3: Full Structural Equation Model
Evaluation
Submission
Elaboration & Tips
Progression
Theoretical Model & Research Question
Assumptions
Reporting Standards
Data
Coping with Covid
Feminist Perspectives Scale
Hypersensitive Narcissism Scale & Dirty Dozen
Kentucky Inventory of Mindfulness Skills
Depression Anxiety Stress Scale
Nomophobia
Recycled Water Acceptance
Procedures
Formatting
Length
Submission
Grading
Group Assignments
Individual Assignment
Resits
Example Assignment
Rules
Resources
Collaboration
Academic integrity
Using AI tools
Strict stuff
Software Setup
Typographic Conventions
Installing software
Installing R
Installing RStudio
Installing packages
Course Data
Note on Data Updates
1
Introduction to R
1.1
Lecture
1.1.1
Recordings
1.1.2
Slides
1.2
Reading
1.3
At-Home Exercises
1.4
In-Class Exercises
Recap
2
Statistical Modeling & Path Analysis
2.1
Lecture
2.1.1
Recordings
2.1.2
Slides
2.2
Reading
Reference
Questions
Suggested Reading (Optional)
2.3
At-Home Exercises
2.3.1
2.3.2
2.3.3
2.3.4
2.3.5
2.3.6
2.4
In-Class Exercises
2.4.1
Data Exploration
2.4.2
Linear Modeling
2.4.3
Categorical IVs
3
Mediation & Moderation
3.1
Lecture
3.1.1
Recordings
3.1.2
Slides
3.2
Reading
Reference
Questions
Reference
Questions
3.3
At-Home Exercises
3.3.1
Mediation
3.3.2
Moderation
3.4
In-Class Exercises
3.4.1
Mediation
3.4.2
Moderation
4
EFA
4.1
Lecture
4.1.1
Recording
4.1.2
Slides
4.2
Reading
Reference 1
Questions 1
Reference 2
Questions 2
4.3
At-Home Exercises
4.3.1
4.3.2
4.3.3
4.3.4
4.3.5
4.3.6
4.3.7
4.3.8
4.3.9
4.3.10
4.3.11
4.3.12
4.4
In-Class Exercises
4.4.1
4.4.2
4.4.3
4.4.4
4.4.5
4.4.6
4.4.7
4.4.8
4.4.9
4.4.10
4.4.11
4.4.12
4.4.13
4.4.14
4.4.15
4.4.16
4.4.17
5
CFA
5.1
Lecture
5.2
Reading
Reference
Questions
5.3
At-Home Exercises
5.3.1
5.3.2
5.3.3
5.3.4
5.3.5
5.3.6
5.3.7
5.3.8
5.4
In-Class Exercises
5.4.1
5.4.2
5.4.3
5.4.4
5.4.5
5.4.6
5.4.7
5.4.8
6
Full SEM
6.1
Lecture
6.1.1
Recording
6.1.2
Slides
6.2
Reading
Reference
Questions
6.3
At-Home Exercises
6.3.1
6.3.2
6.4
In-Class Exercises
6.4.1
6.4.2
6.4.3
6.4.4
6.4.5
6.4.6
6.4.7
7
Multiple Group Models
7.1
Lecture
7.1.1
Recordings
7.1.2
Slides
7.2
Reading
7.3
At-Home Exercises
7.3.1
Multiple-Group Path Analysis
7.3.2
Multiple-Group CFA
7.4
In-Class Exercises
7.4.1
Measurement Invariance
7.4.2
Testing Between-Group Differences
7.4.3
Multiple-Group SEM for Moderation
8
Wrap-Up
Theory Construction and Statistical Modeling
5.1
Lecture
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