What are factor scores? They are the values of the latent variables (factors). In some sense, we are trying to … More
Category: Applied Statistics
[ESTIMATION] Must-have Stat Knowledge
This post is the first of the series of estimation. You need the following knowledge to understand maximum likelihood estimation … More
Oblique Rotation in Exploratory Factor Analysis (EFA) with SPSS
The orthogonal factor model looks nice. However, many people (psychologists) believe that factors should correlate with each other. For example, several … More
Orthogonal Rotation in Exploratory Factor Analysis (EFA) with SPSS
In the last post, we mentioned that to use the ML extraction the number of common factors needs to be specified … More
Maximum Likelihood (ML) Extraction in Exploratory Factor Analysis (EFA) with SPSS
Comments on the PC extraction In a previous post, I talked about the Principal Component (PC) Extraction in Exploratory Factor … More
The Principal Component (PC) Extraction in Exploratory Factor Analysis (EFA) with SPSS
This is the excerpt for your very first post.