Derivative free gradient projection algorithms for rotation

Psychometrika

Volumn 69, Issue 3, 2004, Pages 475-480

  Jennrich, Robert I ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Factor analysis; Numerical derivatives; Oblique rotation; Orthogonal rotation

Indexed keywords

EID: 12344324683     PISSN: 00333123     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02295647     Document Type: Article

References (10)

1. Browne, M.W. (2001 ). An overview of analytic rotation in exploratory factor analysis. Multivariate Behavioral Research, 36, 111-150.
2. Carroll, J.B. (1953). An analytical solution for approximating simple structure in factor analysis. Psychometrika, 18, 23-38.
3. Conte, S.D., & deBoor, D.B. (1980). Elementary numerical analysis: An algorithmic approach. New York: McGraw-Hill.
4. Jennrich, R.I. (2001). A simple general procedure for orthogonal rotation. Psychometrika, 66, 289-306.
5. Jennrich, R.I. (2002). A simple general method for oblique rotation. Psychometrika, 67, 7-19.
6. Kiers, H.A.L. (1994). Simplimax: Oblique rotation to an optimal target with simple structure. Psychometrika, 59, 567-579.
7. Matlab (1995). The Math Works Inc., 24 Prime Park Way, Natick, MA, 01760.
8. McCammon, R.B. (1966). Principal component analysis and its application in large-scale correlation studies. Journal of Geology, 74, 721-733.
9. SAS (1999). SAS/STAT User's Guide, version 8. Cary, NC: SAS Institute Inc.
10. Thurstone, L.L. (1947). Multiple factor analysis, Chicago: University of Chicago Press.