Stats
A Comprehensive Introduction to Structural Equation Modeling (SEM)
By Professor Nick Allum | Expanded and Simplified What is Structural Equation Modeling (SEM)? Structural Equation Modeling (SEM) is an advanced statistical methodology designed to analyze complex relationships…
What Is Structural Equation Modeling (SEM)?
Imagine you’re trying to understand why some people do really well in school. You can measure things like their test scores, study hours, and grades, but you can’t…
A Beginner’s Guide to Structural Equation Modeling (SEM): Understanding Relationships in Research
Imagine you’re a researcher studying what makes employees happy at work. You believe that: Traditional statistics (like regression) allow you to test one relationship at a time. But…
Survival Analysis: Understanding How Long Things Last
What is Survival Analysis? Survival analysis is a special way of analyzing how long it takes for something to happen while considering that for some subjects, the event…
Understanding Data Structures: Time Series, Cross-Sectional, and Panel Data
Introduction When working with data, one of the first steps is understanding the different data structures available. Choosing the appropriate structure is crucial for accurate analysis and interpretation.…
Understanding Causal Inference and Endogeneity
When we study statistics, one big challenge is knowing if one thing really causes another. Many times, two things may change together, but that does not mean one…
Expanding on Exploratory Factor Analysis (EFA)
What is Exploratory Factor Analysis (EFA)? EFA is a data-driven statistical technique used to identify hidden patterns (factors) in a set of variables, such as survey questions. Instead…