CCAL Analysis

[geetusapra]

Dear All,

I came across a technique named CCAL Analysis  in a paper which suggest CCAL is more effective in determining a scale's dimentionality than Factor Analysis, especially when factor correlations are high.

I tried to serach more on it but got only one paper on the same, in a journal of Taylor and Francis. I was not able to download full paper. It's a request to all to please check if you get the complete paper and post it on the group so that everyone can refer it.

An Evaluation of Cluster Analytic Approaches to Initial Model Specification- By Donald R. Bacon ( 2001)

 Structural Equation Modeling: A Multidisciplinary Journal , 8: 3, 397- 429 

Regards

Geetu Tuteja

[Neeraj Kaushik]

Dear Geetu

Thanks for providing the details for the paper. I've studied this paper and found some really good food for thoughts :-)

Let me share the summary of this paper with you.

We always use EFA to identify which items shd be specified to load on which constructs. EFA works on correlation among the statements and group the correlated statements in a factor. The author suggests that we may use Cluster analysis for the grouping of the statements and the results thus obtained show that when the correlation is high between any two factors in a model and there are no mutual cross loading, CCAL offers more accurate dimensionality assessment.

However there are several other technical aspects too and this branch of study still require more work.

So we may continue using EFA for initial grouping. 

In the mean while give me some time to study this in detail. I always wondered why there is a provision of making cluster on the basis of VARIABLES in Cluster analysis !! Now I can guess what it is and how it can be used.

Best wishes

Neeraj

 

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