Standardized versus unstandardized data matrices: Which type is more appropriate for factor analysis

1980 ◽  
Vol 14 (6) ◽  
pp. 699-710 ◽  
Author(s):  
John C. Woelfel ◽  
Joseph D. Woelfel ◽  
Mary Lou Woelfel
Keyword(s):  
Factor Analysis ◽  
Data Matrices

Review of Factor Analysis of Data Matrices.

1966 ◽  
Vol 11 (7) ◽  
pp. 360-360
Author(s):  
Q. McN.
Keyword(s):  
Factor Analysis ◽  
Data Matrices

Target factor analysis of bond dissociation energies

1987 ◽  
Vol 65 (6) ◽  
pp. 1380-1383 ◽  
Author(s):  
Darryl G. Howery ◽  
Matthew Rubenstein
Keyword(s):  
Factor Analysis ◽  
Hydroxyl Radicals ◽  
Experimental Error ◽  
Bond Dissociation Energies ◽  
Bond Dissociation ◽  
Dissociation Energies ◽  
Error Range ◽  
Number Of Factors ◽  
Target Factor Analysis ◽  
Data Matrices

Six data matrices of bond dissociation energies ranging from a 6 × 6 matrix involving only hydrocarbon radicals to a 14 × 14 matrix involving several types of radicals are target factor analyzed. The number of factors to reproduce the data near experimental error range from two to four for the six matrices. The hydrogen and fluorine radicals are shown to be the most unique radicals. Combination sets of vectors from the data matrices reproduce the data within experimental error, with the hydrogen, fluorine, and hydroxyl radicals being the most important ones. Using target testing, a few of the properties of the radicals are identified as basic factors.

scholarly journals Exploratory factor analysis of large data matrices

2018 ◽  
Vol 12 (1) ◽  
pp. 5-11
Author(s):  
Nickolay T. Trendafilov ◽  
Sara Fontanella
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Large Data ◽  
Data Matrices

Factor Analysis of Data Matrices

1966 ◽  
Vol 79 (2) ◽  
pp. 344 ◽  
Author(s):  
Richard B. Darlington ◽  
Paul Horst
Keyword(s):  
Factor Analysis ◽  
Data Matrices
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