Fundamentals of Common Factor Analysis

2018 ◽  
pp. 209-251 ◽  
Author(s):  
Stanley A. Mulaik
Keyword(s):  
Factor Analysis ◽  
Common Factor ◽  
Common Factor Analysis

Spectrum Decomposition through Maximum Likelihood Common Factor Analysis of the EPR Spectra of Na+ Containing Carbonated Apatites Dried at 400°C

1993 ◽  
Vol 53 (6) ◽  
pp. 416-423
Author(s):  
Peter D. W. Moens ◽  
Ronald M. H. Verbeeck ◽  
Paul J. De Volder ◽  
Freddy J. Callens ◽  
Erna A. P. De Maeyer
Keyword(s):  
Factor Analysis ◽  
Maximum Likelihood ◽  
Common Factor ◽  
Epr Spectra ◽  
Common Factor Analysis ◽  
Carbonated Apatites ◽  
Spectrum Decomposition

scholarly journals Calculation of Tucker’s three-mode common factor analysis

1979 ◽  
Vol 11 (6) ◽  
pp. 609-611 ◽  
Author(s):  
Conrad W. Snyder ◽  
Henry G. Law ◽  
Peter R. Pamment
Keyword(s):  
Factor Analysis ◽  
Common Factor ◽  
Common Factor Analysis

scholarly journals Implementing Horn's Parallel Analysis for Principal Component Analysis and Factor Analysis

2009 ◽  
Vol 9 (2) ◽  
pp. 291-298 ◽  
Author(s):  
Alexis Dinno
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Common Factor ◽  
Principal Component ◽  
Component Analysis ◽  
Parallel Analysis ◽  
Common Factor Analysis

I present paran, an implementation of Horn's parallel analysis criteria for factor or component retention in common factor analysis or principal component analysis in Stata. The command permits classical parallel analysis and more recent extensions to it for the pca and factor commands. paran provides a needed extension to Stata's built-in factor- and component-retention criteria.

On the Number and Nature of Common Factors Extracted by the Eigenvalue-One Rule Using BMDP VS SPSSX

1989 ◽  
Vol 65 (1) ◽  
pp. 155-160 ◽  
Author(s):  
Raymond Hubbard ◽  
Stuart J. Allen
Keyword(s):  
Factor Analysis ◽  
Empirical Data ◽  
Software Package ◽  
Common Factor ◽  
Common Factors ◽  
Computer Programs ◽  
Data Sets ◽  
Statistical Software ◽  
Common Factor Analysis ◽  
Psychology Literature

Given nuances in the computer programs, unwary researchers performing a common factor analysis on the same set of data can be expected to arrive at very different conclusions regarding the number and nature of extracted factors if they use the BMDP, as opposed to the SPSSx (or SAS), statistical software package. This is illustrated using six well-known empirical data sets from the psychology literature.

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