Statistics.com LMS
Available courses
Aim of Course:
Structural Equation Modeling (SEM) is a modeling technique that allows
you to create a deeper understanding of how your data is structured. You
will learn how to create structural equation models using the lavaan package in R.
- Teacher: Erin Buchanan
Aim of Course:
This course covers the fundamental concepts and theory of Structural Equation Modeling: model specification, model identification, model estimation, model testing, and model modification.
Aim of Course:
To provide an easy introduction to ANOVA and multiple linear regression through a series of practical applications.
Aim of Course:
This course, the second in a three-course sequence, provides an easy introduction to inference and association through a series of practical applications, based on the resampling/simulation approach.
Aim of Course:
This course, the second in a three-course sequence, provides an easy introduction to inference and association through a series of practical applications, based on the resampling/simulation approach.
Aim of Course:
This course, the second in a three-course sequence, provides an easy introduction to inference and association through a series of practical applications, based on the resampling/simulation approach.
Aim of Course:
This course, the second in a three-course sequence, provides an easy introduction to inference and association through a series of practical applications, based on the resampling/simulation approach.
Aim of Course:
To provide an easy introduction to statistical inference for a single variable.
Aim of Course:
To provide an easy introduction to statistical inference for a single variable.