Quadratic prediction of factors scores

Erik Meijer, Tom Wansbeek

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)


Factor scores are naturally predicted by means of their conditional expectation given the indicators y. Under normality this expectation is linear in y but in general it is an unknown function of y. II is discussed that under nonnormality factor scores can be more precisely predicted by a quadratic function of y.
Original languageEnglish
Pages (from-to)495 - 508
Number of pages14
Issue number4
Publication statusPublished - Dec-1999

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