Maximum Likelihood Extraction Method




Exploratory Factor Analysis
Knowledge Center

Translate

Forum
4
Ehsan Farzin
Teacher, Iran

Maximum Likelihood Extraction Method

I chose Principal Components Analysis and unfortunately there are 17 factors and Varimax table was presented just in the last step. I want to use limited factors with enough (3-5) items to make a good measure latent construct based on Hair et al (2010) to prepare that for CFA and SEM.
As Fabrigar et al (1999) said, if data are relatively normally distributed, Maximum Likelihood is the best choice. I examined Maximum Likelihood and in the Commonalities, I deleted the Extraction less than 0.5.
Although, the new factors are 2, one of them has two items. I examined that procedure for Extraction less than 0.49 and 0.48, those are some factors which at least one of them has two items.
- How can I find a way to promote the items to at least three?
- Which method is suitable for extraction in my case?
It is noticeable that my samples are 1200 and the number of questions are 111.
 
Comments

Rating

 
0
Jaap de Jonge
Editor, Netherlands
 

Maximum Likelihood Extraction Method

Hi Ehzan, it's a pity you didn't get a reaction so far to your interesting question. Perhaps it was ... Sign up

   

More on Exploratory Factor Analysis:
Summary
Discussion Topics
2 types of multivariate analys
👀Maximum Likelihood Extraction Method
SPSS Factor Analysis on Non-Parametric Data
🔥 What to do if the Data of your Research Turn out to be Incomplete?
Rotated component matrix
Special Interest Group

Do you know a lot about Exploratory Factor Analysis? Become our SIG Leader

Exploratory Factor Analysis
Knowledge Center



About 12manage | Advertising | Link to us / Cite us | Privacy | Suggestions | Terms of Service
2023 12manage - The Executive Fast Track. V16.1 - Last updated: 7-6-2023. All names of their owners.