title: [Factor analysis of ipsative data: a simulation study].
abstract: This paper introduces a summary on how to proceed to conduct a factor analysis when the input data are ipsative. The classical factor analysis procedures cannot be used because the covariance matrix is singular. Additionally, previous research on the optimal conditions to conduct factor analysis for ipsatized data is reviewed, and the results of a simulation study are presented. The study includes conditions of sample size, model complexity, and model specification (correct vs. incorrect). The results suggest that researchers should be careful when factor analyzing ipsatized data, particularly if they suspect that the model is incorrectly specified and includes a smaller number of factors.
authors.affiliation: Facultad de Psicología, Universidad Autónoma de Madrid, 28049 Madrid, Spain. carmen.ximenez@uam.es
authors.forename: Carmen Ximénez
authors.initials: CX
authors.lastname: Gómez
authors.forename: Carlos Calderón
authors.initials: CC
authors.lastname: Carvajal
mesh_terms: D002755:Choice Behavior; D003198:Computer Simulation; D005163:Factor Analysis, Statistical; D006801:Humans; D008962:Models, Theoretical; D011581:Psychological Tests / Q000706:statistics & numerical data*; D018401:Sample Size