Setting the value of k in promax: A Monte Carlo study

Educational and Psychological Measurement

Volumn 59, Issue 3, 1999, Pages 384-391

  Tataryn, Douglas J ^b   Wood, James M ^a   Gorsuch, Richard L ^b  

^a UNIVERSITY OF TEXAS AT EL PASO   (United States)

^b University of Texas at El Paso ^*

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0033147317     PISSN: 00131644     EISSN: None     Source Type: Journal    
DOI: 10.1177/00131649921969938     Document Type: Article

References (10)

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2. Gorsuch, R. L. (1983). Factor analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
3. Hakstian, A. R. (1971). A comparative evaluation of several prominent methods of oblique factor transformation. Psychometrika, 36, 175-193.
4. Hays, W. L. (1981). Statistics (3rd ed.). New York: Holt, Rinehart & Winston.
5. Hendrickson, A. E., & White, P. O. (1964). Promax: A quick method for rotation to oblique simple structure. British Journal of Statistical Psychology, 17, 65-70.
6. SAS Institute Inc. (1988). SAS/STAT user's guide, Release 6.03 edition. Cary, NC: Author.
7. Snook, S. C., & Gorsuch, R. L. (1989). Component analysis versus common factor analysis: A Monte Carlo study. Psychological Bulletin, 106, 148-154.
8. Thompson, B., & Daniel, L. G. (1996). Factor analytic evidence for the construct validity of scores: An historical overview and some guidelines. Educational and Psychological Measurement, 56, 213-224.
9. Velicer, W. F., Peacock, A. C., & Jackson, D. N. (1982). A comparison of component and factor patterns: A Monte Carlo approach. Multivariate Behavioral Research, 17, 371-388.
10. Wood, J. M., Tataryn, D. J., & Gorsuch, R. L. (1996). Effects of under-and over-extraction on principal axis factor analysis with varimax rotation. Psychological Methods, 1, 354-365.