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ERIC Number: ED395042
Record Type: RIE
Publication Date: 1996-Jan-27
Pages: 24
Abstractor: N/A
Reference Count: N/A
Alternate Ways of Computing Factor Scores.
Garbarino, Jennifer J.
All parametric analysis focuses on the "synthetic" variables created by applying weights to "observed" variables, but these synthetic variables are called by different names across methods. This paper explains four ways of computing the synthetic scores in factor analysis: (1) regression scores; (2) M. S. Bartlett's algorithm (1937); (3) the Anderson-Rubin method (T. W. Anderson and H. Rubin, 1956); and (4) standardized, noncentered factor scores. A description and illustration of the derivation and utility of factor scores in multivariate analysis were undertaken. In addition, an attempt was made to explain the concept that factor scores are synthetic variables, or weighted combinations of the observed scores, and that they are similar to those in regression. An appendix contains a Statistical Package for the Social Sciences program. (Contains 6 tables and 11 references.) (Author/SLD)
Publication Type: Reports - Evaluative; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers: Parametric Analysis; Variables
Note: Paper presented at the Annual Meeting of the Southwest Educational Research Association (19th, New Orleans, LA, January 25-27, 1996).